Public report — spring-data-relational, published 4 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
93findings with an exact file:lineof 101 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
25/102dimensions across the health lenses56616 LoC — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
spring-projects/spring-data-relational is sound in substance but carries real gaps (66%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.
It is strongest in Domain Modelling (100%) — the domain model is expressive and well-guarded. Architecture (99%) is solid too.
The area that most needs attention is Maturity (55%) — onboarding is slow — key decisions and the architecture aren't written down, so contributors have to reverse-engineer the intent. Readiness (69%) is the next concern — releases are harder to depend on — versioning, release notes and dependency hygiene are thin, so consumers can't easily tell what changed or trust an upgrade.
Leadership focus, highest impact first: Record significant decisions one document per decision (Architecture documentation); build/run (quick start) section to the root README (Documentation (README)); Reconcile the README with reality (Documentation accuracy).
For scale: Medium (~56,616 production lines); rebuilding it from scratch would take roughly ~1.0 person-years (~1–2 engineers). Approximate, ±~30%.
Encouragingly, the gaps are in documentation and release process — not in the code's correctness, structure or security, which are strong. They're low-risk to close, and doing so would lift the grade without re-engineering anything that already works.
How the score is built — each lens's share of the headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
0.9× (at 66% quality) — the last 20% of quality is most of the work
Size & shape
Medium · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)
This codebase represents roughly ~1.0 person-years of build effort (about ~€150,000 to rebuild). Its weakest lens is Maturity at 55% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.2) — domain model × a 0.9× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Value concentrated against a weak lens · Medium · Value at risk
This is a Medium asset (~1.0 person-years to rebuild), and its weakest lens is Maturity at 55%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Maturity first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form). The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Architecture — module dependency matrix
43 modules, 164 dependencies — 2 dependency cycles, shown as the red cell(s) above the diagonal. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A03:2021 — Injection
10
High / Critical
Roadmap
Begin by establishing an architecture decision record system to document significant design choices and their consequences. Next, update the root README to include a clear build and run quick-start guide for newcomers, ensuring it accurately reflects the current state of the project by removing references to non-existent Docker configurations. Finally, implement a draft release process to prevent users from downloading incomplete or broken builds.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 23 of 25 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 25 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 93 of 101 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D33 JS/npm Dependency Vulnerabilities: JS/npm CVE matching reads package manifests and lockfiles — risk from how a dependency is used, and advisories not yet published, fall outside this scan.
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
DM6 Domain ↔ infrastructure boundary: Infrastructure reached through a hand-rolled wrapper, a domain-named facade, reflection, or a string-keyed service locator resolves to a non-infra type and isn't seen; the body scan is symbol resolution over syntax, not full dataflow. A clean result means "no resolved infra reference in a domain body", not a proof of purity.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P4 Deployment & Rollback: Approval/branch-protection rules live in repository settings the scan cannot see — only their in-repo evidence (config files, workflows) is checked, so a control enforced purely in the host's settings reads as "not evidenced".
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.
The LLM boundary
LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.
What it measures: How tangled the control flow is — methods with many branches are hard to test and change.
Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.
8 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was CriteriaFactory.createCriteria at 32. A further 1 method(s) were over the threshold but excluded as flat dispatchers (a long switch/match over independent cases: many branches, almost no nesting), the largest being QueryBlockBuilder.appendCriteria at 19 — they are counted neither in the figure above nor in this dimension's score.
+ 3 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 CriteriaFactory.createCriteria (cyclomatic 32) finding(s) in Cyclomatic Complexity — start with CriteriaFactory.java. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 QueryExecutionBlockBuilder.select (cyclomatic 31) finding(s) in Cyclomatic Complexity — start with JdbcCodeBlocks.java. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 QueryMapper.createCondition (cyclomatic 27) finding(s) in Cyclomatic Complexity — start with QueryMapper.java. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 16 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 QueryExecutionBlockBuilder.select (cognitive 61) finding(s) in Cognitive Complexity — start with JdbcCodeBlocks.java. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 NamedParameterUtils.parseSqlStatement (cognitive 56) finding(s) in Cognitive Complexity — start with NamedParameterUtils.java. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 NamedParameterUtils.skipCommentsAndQuotes (cognitive 48) finding(s) in Cognitive Complexity — start with NamedParameterUtils.java. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D3 · God Classes8.5 / 10Strong✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 14 TooManyMethods finding(s) in God Classes — start with SqlGenerator.java, JdbcAggregateTemplate.java, R2dbcEntityTemplate.java. — One of this dimension's main actionable groups (14 warning-level).
Resolve the 6 FileTooLong finding(s) in God Classes — start with QueryMapper.java (2), SqlGenerator.java, MappingRelationalConverter.java. — One of this dimension's main actionable groups (6 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
13 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/QueriesFactory.java.
Off-boarding risk: anonymized user #1
Further sole-owners (lower concentration)
✓ On the Gold path — maintain.
Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.
The Spring Data Relational and JDBC READMEs are well written with clear goals, features, code-of-conduct links, and getting-started examples. The main document (Spring Data Relational) is a single cohesive doc that covers the project's purpose, an outline of features, a Code of Conduct link, and a short Getting Started section before being cut at the Per interface example; the JDBC README is split into two files but both are well written with features, getting help, test execution, and links to Spring Data Examples and Stack Overflow.
The Getting Started section is cut at the Per interface example, leaving the reader unable to run the code shown in the teaser.README.adoc
What to do
Resolve the 1 The Getting Started section is cut at the Per interface example, leaving… finding(s) in Documentation Quality — start with README.adoc. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d19_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether names — types, methods, variables — are clear and consistent.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
High: github-actions-mutable-action-tag · ×10.github/workflows/ci.yml:18detected by semgrep finding
What to do
Resolve the 10 High finding(s) in Static Analysis (SAST) — start with ci.yml (3), project.yml (3), snapshots.yml (3). — One of this dimension's main actionable groups (10 issue-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
8 of 272 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/CriteriaFactory.java.
Further orphaned files (smaller)
✓ On the Gold path — maintain.
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.
Other · Domain Modelling — Whether entities protect their state (private/init-only setters) instead of exposing public setters that bypass invariants. Softened when a rehydration framework (Marten/EF) is present.
Method: Roslyn (DDD-gated): public setters on entities detected; score softened when Marten/EF rehydration frameworks present. Deterministic, framework-aware.
Coverage: Population: entities by convention; encapsulation (setter shape) checked exhaustively within the set.
Other · Domain Modelling — Whether the domain layer stays free of infrastructure dependencies (EF/Marten/HTTP/ASP.NET) — the clean-architecture dependency rule.
Method: Roslyn (DDD-gated): domain-layer types scanned for infrastructure usage in member SIGNATURES and inside method/accessor BODIES — resolved calls and object-creations into EF/Marten/HTTP/Mongo/Redis/message-bus types (not just a namespace allowlist). Deterministic, symbol-resolved, exhaustive over domain-layer bodies, DDD-native.
Coverage: Domain layer identified by NAMESPACE heuristic; infrastructure then resolved by symbol in member SIGNATURES and method/accessor BODIES — rename the layer and the check evaporates.
Other · Domain Modelling — Whether clusters of primitives that travel together (a missing value object) are extracted — a low-weight suggestion, LLM-confirmed when configured.
Method: Roslyn (DDD-gated): primitive parameter clusters recurring three or more times across signatures extracted, then confirmed by language model when configured. Advisory, low-weight.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add a build/run (quick start) section to the root README — the first thing a newcomer needs.
Add a 'Testing' section to the root README — how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Add a README to the 3 of 4 project(s) that lack one — worth up to 1.5 pts.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.
What to do
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).
Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.
README advertises Docker containerisation, but no Dockerfile/compose file exists
What to do
Reconcile the README with reality: README advertises Docker containerisation, but no Dockerfile/compose file exists.
Do you agree with this assessment?
P1 · CI/CD gates8.5 / 10Strong✓ Tool-verified
Readiness · Readiness — Whether an automated pipeline builds and tests every change.
Method: Filesystem scan: CI workflow files (.github/workflows, .gitlab-ci.yml, etc.) for build and test stages. Exhaustive, deterministic.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
What to do
Enable Dependabot/Renovate or a dependency-review gate.
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are automated and safely reversible (probes, rolling updates, approval gates) — from manifests/pipeline files, not the live environment.
Method: Filesystem scan: deployment manifests/IaC (K8s YAML, Helm, Terraform) for rolling updates, probes, approval gates, migration hooks. Exhaustive, deterministic.
What to do
Nothing pauses a release for a human: publish as a draft release (or gate the release job on a protected tag/manual dispatch) so a bad build can be stopped before users can download it.
Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.
Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Not included — 77 check(s) not relevant to this codebase
These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.
AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — no DI registrations detected
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
AXB2 Runtime readiness — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~50010 lines of test source are present (.java) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Maven POM and package.json), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D22 Internal API Consistency — No exposed public API
D23 Boundary Type-Coupling — Production source is present (.java, .kt) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Maven POM and package.json — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
D36 Supply-chain Provenance & Signing — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D38 OSV Dependency Vulnerabilities — Scanner failed to run — not a clean result
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is .java, .kt, which this pass does not read — so no class could be assessed. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.java) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Aggregate boundaries — no aggregates detected — aggregate-boundary check not applicable
DM2 Strongly-typed ids — no id-bearing domain types detected — strongly-typed-id adoption not assessable
DM3 Integration-event coupling — no integration events detected — coupling check not applicable
DM4 Rich vs anemic model — no data-bearing entities detected — rich-vs-anemic model not assessable
DM7 Repository granularity — no repository abstraction detected (e.g. uses a document session)
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
GD1 Unfinished & placeholder code — no source files
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (JaCoCo XML — `mvn jacoco:report`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
High: github-actions-mutable-action-tag .github/workflows/ci.yml:18— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v6`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/ci.yml:20— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: spring-projects/spring-data-build/actions/setup-maven@<40-character SHA>`. This step references `spring-projects/spring-data-build/actions/setup-maven@main`; resolve the SHA it points at today with `gh api repos/spring-projects/spring-data-build/commits/main --jq .sha`. `spring-projects/spring-data-build/actions/setup-maven` is hosted INSIDE the `spring-projects/spring-data-build` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `spring-projects/spring-data-build/actions/setup-maven` path in `uses:` and query only `spring-projects/spring-data-build`.
High: github-actions-mutable-action-tag .github/workflows/ci.yml:27— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: spring-projects/spring-data-build/actions/maven-build@<40-character SHA>`. This step references `spring-projects/spring-data-build/actions/maven-build@main`; resolve the SHA it points at today with `gh api repos/spring-projects/spring-data-build/commits/main --jq .sha`. `spring-projects/spring-data-build/actions/maven-build` is hosted INSIDE the `spring-projects/spring-data-build` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `spring-projects/spring-data-build/actions/maven-build` path in `uses:` and query only `spring-projects/spring-data-build`.
High: github-actions-mutable-action-tag .github/workflows/project.yml:24— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/add-to-project@<40-character SHA>`. This step references `actions/add-to-project@v1.0.2`; resolve the SHA it points at today with `gh api repos/actions/add-to-project/commits/v1.0.2 --jq .sha`. Note that `v1.0.2` is an exact release tag rather than a floating major: it is still mutable (a tag can be repointed), but by convention it moves only on a force-push, so pin the floating-major and branch references in this file first.
High: github-actions-mutable-action-tag .github/workflows/project.yml:33— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/add-to-project@<40-character SHA>`. This step references `actions/add-to-project@v1.0.2`; resolve the SHA it points at today with `gh api repos/actions/add-to-project/commits/v1.0.2 --jq .sha`. Note that `v1.0.2` is an exact release tag rather than a floating major: it is still mutable (a tag can be repointed), but by convention it moves only on a force-push, so pin the floating-major and branch references in this file first.
High: github-actions-mutable-action-tag .github/workflows/project.yml:42— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/add-to-project@<40-character SHA>`. This step references `actions/add-to-project@v1.0.2`; resolve the SHA it points at today with `gh api repos/actions/add-to-project/commits/v1.0.2 --jq .sha`. Note that `v1.0.2` is an exact release tag rather than a floating major: it is still mutable (a tag can be repointed), but by convention it moves only on a force-push, so pin the floating-major and branch references in this file first.
High: github-actions-mutable-action-tag .github/workflows/snapshots.yml:16— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v6`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/snapshots.yml:18— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: spring-projects/spring-data-build/actions/setup-maven@<40-character SHA>`. This step references `spring-projects/spring-data-build/actions/setup-maven@main`; resolve the SHA it points at today with `gh api repos/spring-projects/spring-data-build/commits/main --jq .sha`. `spring-projects/spring-data-build/actions/setup-maven` is hosted INSIDE the `spring-projects/spring-data-build` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `spring-projects/spring-data-build/actions/setup-maven` path in `uses:` and query only `spring-projects/spring-data-build`.
High: github-actions-mutable-action-tag .github/workflows/snapshots.yml:24— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: spring-projects/spring-data-build/actions/maven-artifactory-deploy@<40-character SHA>`. This step references `spring-projects/spring-data-build/actions/maven-artifactory-deploy@main`; resolve the SHA it points at today with `gh api repos/spring-projects/spring-data-build/commits/main --jq .sha`. `spring-projects/spring-data-build/actions/maven-artifactory-deploy` is hosted INSIDE the `spring-projects/spring-data-build` repository (a subdirectory action or a reusable workflow), so the SHA to pin is that repository's commit — keep the full `spring-projects/spring-data-build/actions/maven-artifactory-deploy` path in `uses:` and query only `spring-projects/spring-data-build`.
High: spel-injection spring-data-relational/src/main/java/org/springframework/data/relational/repository/support/TableNameQueryPreprocessor.java:62— A Spring expression is built with a dynamic value. The source of the value(s) should be verified to avoid that unfiltered values fall into this risky code evaluation. This is a semgrep security-AUDIT rule: it reports that a sensitive construct is present, not that it is exploitable here. Confirm whether this site handles untrusted input or is reachable across a trust boundary — and apply the change where it is; where the construct is required by the platform or protocol it calls into, and carries no untrusted data (a syscall/FFI shim, a build- or debug-gated tool, a fixed local surface), record the review and leave the code as it is.
TooManyMethods: SqlGenerator spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:76— TooManyMethods — 96 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: JdbcAggregateTemplate spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateTemplate.java:83— TooManyMethods — 63 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: R2dbcEntityTemplate spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:106— TooManyMethods — 60 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: EmbeddedRelationalPersistentProperty spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentProperty.java:35— TooManyMethods — 50 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: MyBatisDataAccessStrategy spring-data-jdbc/src/main/java/org/springframework/data/jdbc/mybatis/MyBatisDataAccessStrategy.java:80— TooManyMethods — 42 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: DefaultDataAccessStrategy spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DefaultDataAccessStrategy.java:72— TooManyMethods — 41 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: EmbeddedRelationalPersistentEntity spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentEntity.java:40— TooManyMethods — 40 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: MappingRelationalConverter spring-data-relational/src/main/java/org/springframework/data/relational/core/conversion/MappingRelationalConverter.java:98— TooManyMethods — 39 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: CascadingDataAccessStrategy spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/CascadingDataAccessStrategy.java:57— TooManyMethods — 37 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: DelegatingDataAccessStrategy spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DelegatingDataAccessStrategy.java:47— TooManyMethods — 36 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Criteria spring-data-relational/src/main/java/org/springframework/data/relational/core/query/Criteria.java:62— TooManyMethods — 36 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: RowDocument spring-data-relational/src/main/java/org/springframework/data/relational/domain/RowDocument.java:37— TooManyMethods — 34 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Column spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/Column.java:34— TooManyMethods — 33 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: LiquibaseChangeSetWriter spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/mapping/schema/LiquibaseChangeSetWriter.java:98— TooManyMethods — 31 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
FileTooLong: convert/SqlGenerator.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:0— FileTooLong — 644 significant lines (blank, comment-only and punctuation-only lines excluded), about 94% of them inside a single declaration: SqlGenerator (76-1471). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: conversion/MappingRelationalConverter.java spring-data-relational/src/main/java/org/springframework/data/relational/core/conversion/MappingRelationalConverter.java:0— FileTooLong — 644 significant lines (blank, comment-only and punctuation-only lines excluded), about 90% of them inside a single declaration: MappingRelationalConverter (98-1369). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: core/R2dbcEntityTemplate.java spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:0— FileTooLong — 553 significant lines (blank, comment-only and punctuation-only lines excluded), about 88% of them inside a single declaration: R2dbcEntityTemplate (106-1034). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: aot/JdbcCodeBlocks.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/JdbcCodeBlocks.java:0— FileTooLong — 515 significant lines (blank, comment-only and punctuation-only lines excluded), about 91% of them inside a single declaration: JdbcCodeBlocks (74-879). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: convert/QueryMapper.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:0— FileTooLong — 507 significant lines (blank, comment-only and punctuation-only lines excluded), about 94% of them inside a single declaration: QueryMapper (62-997). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
FileTooLong: query/QueryMapper.java spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:0— FileTooLong — 504 significant lines (blank, comment-only and punctuation-only lines excluded), about 93% of them inside a single declaration: QueryMapper (65-1012). Moving the declarations that sit BESIDE it into sibling files will not shorten this file. Extract from INSIDE that declaration instead: lift each cohesive group of its body — the parts that share the same inputs and are named together — into its own unit in a sibling file, and have the original call them.
Duplicated block (9 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:282— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:282-290 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:347-355 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:282` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (9 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:967— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:967-975 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:906-914 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:967` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateTemplate.java:280— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateTemplate.java:280-289 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateTemplate.java:298-306 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateTemplate.java:280` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:299— spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:299-307 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:328-336 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (9 lines × 2) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/support/SimpleR2dbcRepository.java:194— spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/support/SimpleR2dbcRepository.java:194-202 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/support/SimpleR2dbcRepository.java:224-232 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/support/SimpleR2dbcRepository.java:194` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (9 lines × 2) spring-data-relational/src/main/java/org/springframework/data/relational/core/query/Criteria.java:748— spring-data-relational/src/main/java/org/springframework/data/relational/core/query/Criteria.java:748-756 | spring-data-relational/src/main/java/org/springframework/data/relational/core/query/Criteria.java:771-779 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (10 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DataAccessStrategyFactory.java:73— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DataAccessStrategyFactory.java:73-82 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryCreator.java:132-142 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice.
Duplicated block (10 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:261— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:261-271 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:327-336 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:261` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (10 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:527— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:527-536 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:547-556 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:527` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (10 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryCreator.java:128— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryCreator.java:128-137 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/PartTreeJdbcQuery.java:136-145 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (10 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryMethod.java:93— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryMethod.java:93-102 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/query/R2dbcQueryMethod.java:181-190 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/JdbcQueryMethod.java:93` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (11 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:89— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:89-99 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:112-122 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:89` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (11 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:512— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:512-522 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:532-542 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:512` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (11 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:588— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:588-598 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:598-608 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:588` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (11 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:298— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:298-308 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:1299-1309 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/SqlGenerator.java:298` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (12 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:508— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:508-519 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:534-545 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:508` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (12 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:119— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:119-130 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:142-153 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:119` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (12 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/AotRepositoryFragmentSupport.java:183— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/AotRepositoryFragmentSupport.java:183-194 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/StringBasedJdbcQuery.java:209-220 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/AotRepositoryFragmentSupport.java:183` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Change coupling: EntityRowMapper.java ↔ MapEntityRowMapper.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/EntityRowMapper.java— `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/EntityRowMapper.java` and `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MapEntityRowMapper.java` change together 50% of the time (11 of the 22 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
Change coupling: IdGeneratingBatchInsertStrategy.java ↔ IdGeneratingInsertStrategy.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/IdGeneratingBatchInsertStrategy.java— `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/IdGeneratingBatchInsertStrategy.java` and `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/IdGeneratingInsertStrategy.java` change together 50% of the time (5 of the 10 commits that touched whichever of the two files changed less often, counting a file under its earlier names as well). They sit in the same directory, and in this ecosystem sibling files there normally share one namespace/package — so a direct reference between them needs no import and this pass cannot see whether one exists. Read the pair before acting: if one file only DECLARES what the other consumes (a constants/types file beside its user), the co-change is definitional and the question is whether the split earns its keep; if they duplicate structure, extract the common part into a shared function or type they both call; if neither holds, the coupling is hidden and worth breaking.
Duplicated block (17 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:483— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:483-499 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:414-430 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (17 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:901— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:901-917 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:844-860 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:901` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (14 lines × 2) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/dialect/OracleDialect.java:48— spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/dialect/OracleDialect.java:48-61 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/dialect/SqlServerDialect.java:44-57 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/dialect/OracleDialect.java:48` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (14 lines × 2) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:112— spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:112-125 | spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:245-258 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:112` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (13 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/StringBasedJdbcQuery.java:125— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/StringBasedJdbcQuery.java:125-137 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/query/StringBasedR2dbcQuery.java:107-119 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/StringBasedJdbcQuery.java:125` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (13 lines × 2) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/FilteredSingleConditionRenderSupport.java:55— spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/FilteredSingleConditionRenderSupport.java:55-67 | spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/TypedSingleConditionRenderSupport.java:51-63 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once.
Duplicated block (7 lines × 2) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:422— spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:422-428 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/R2dbcEntityTemplate.java:447-453 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (7 lines × 2) spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentEntity.java:225— spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentEntity.java:225-231 | spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentEntity.java:237-243 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-relational/src/main/java/org/springframework/data/relational/core/mapping/EmbeddedRelationalPersistentEntity.java:225` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
CriteriaFactory.createCriteria (cyclomatic 32) spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/CriteriaFactory.java:55— CriteriaFactory.createCriteria has cyclomatic complexity 32 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.
QueryExecutionBlockBuilder.select (cyclomatic 31) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/JdbcCodeBlocks.java:735— QueryExecutionBlockBuilder.select has cyclomatic complexity 31 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
QueryMapper.createCondition (cyclomatic 27) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:561— QueryMapper.createCondition has cyclomatic complexity 27 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
NamedParameterUtils.parseSqlStatement (cyclomatic 23) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/NamedParameterUtils.java:93— NamedParameterUtils.parseSqlStatement has cyclomatic complexity 23 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
QueryMapper.createCondition (cyclomatic 23) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:573— QueryMapper.createCondition has cyclomatic complexity 23 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
QueryMapper.mapCondition (cyclomatic 17) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:292— QueryMapper.mapCondition has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
SelectValidator.enter (cyclomatic 16) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/SelectValidator.java:83— SelectValidator.enter has cyclomatic complexity 16 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
RelationalExampleMapper.getMappedExample (cyclomatic 16) spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/RelationalExampleMapper.java:72— RelationalExampleMapper.getMappedExample has cyclomatic complexity 16 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
QueryExecutionBlockBuilder.select (cognitive 61) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/JdbcCodeBlocks.java:735— QueryExecutionBlockBuilder.select has cognitive complexity 61 (threshold 15). Drivers by points: if/else 31, ternaries 23, boolean chains 7 (nesting depth added 26). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
NamedParameterUtils.parseSqlStatement (cognitive 56) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/NamedParameterUtils.java:93— NamedParameterUtils.parseSqlStatement has cognitive complexity 56 (threshold 15). Drivers by points: if/else 38, loops 12, boolean chains 6 (nesting depth added 32). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
NamedParameterUtils.skipCommentsAndQuotes (cognitive 48) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/NamedParameterUtils.java:207— NamedParameterUtils.skipCommentsAndQuotes has cognitive complexity 48 (threshold 15). Drivers by points: if/else 34, loops 14 (nesting depth added 37). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
NamedParameterUtils.substituteNamedParameters (cognitive 37) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/NamedParameterUtils.java:267— NamedParameterUtils.substituteNamedParameters has cognitive complexity 37 (threshold 15). Drivers by points: if/else 26, loops 11 (nesting depth added 25). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
QueryMapper.mapCondition (cognitive 32) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:292— QueryMapper.mapCondition has cognitive complexity 32 (threshold 15). Drivers by points: ternaries 14, if/else 10, boolean chains 5, loops 3 (nesting depth added 15). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DelegatingVisitor.doLeave0 (cognitive 31) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/DelegatingVisitor.java:104— DelegatingVisitor.doLeave0 has cognitive complexity 31 (threshold 15). Drivers by points: if/else 24, ternaries 5, loops 2 (nesting depth added 20). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
QueryMapper.createCondition (cognitive 29) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:561— QueryMapper.createCondition has cognitive complexity 29 (threshold 15). Drivers by points: if/else 12, ternaries 9, boolean chains 4, loops 3, match/switch 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
QueryMapper.mapCondition (cognitive 28) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:357— QueryMapper.mapCondition has cognitive complexity 28 (threshold 15). Drivers by points: ternaries 10, if/else 9, loops 5, boolean chains 4 (nesting depth added 13). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
JdbcRepositoryFactoryBean.afterPropertiesSet (cognitive 26) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/support/JdbcRepositoryFactoryBean.java:212— JdbcRepositoryFactoryBean.afterPropertiesSet has cognitive complexity 26 (threshold 15). Drivers by points: if/else 23, boolean chains 3 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
QueryMapper.createCondition (cognitive 23) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:573— QueryMapper.createCondition has cognitive complexity 23 (threshold 15). Drivers by points: if/else 12, ternaries 5, loops 3, boolean chains 2, match/switch 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
ExpandedQuery.bind (cognitive 21) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/core/NamedParameterUtils.java:463— ExpandedQuery.bind has cognitive complexity 21 (threshold 15). Drivers by points: loops 12, if/else 9 (nesting depth added 12). To reduce it, break up the iteration: give each loop body a named function, and split a multi-phase loop into one function per phase so no single body carries the whole pipeline.
ExpressionVisitor.enterMatched (cognitive 21) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/ExpressionVisitor.java:65— ExpressionVisitor.enterMatched has cognitive complexity 21 (threshold 15). Drivers by points: if/else 15, ternaries 6 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
CriteriaFactory.createCriteria (cognitive 20) spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/CriteriaFactory.java:55— CriteriaFactory.createCriteria has cognitive complexity 20 (threshold 15). Drivers by points: ternaries 8, boolean chains 7, if/else 4, match/switch 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
ResolvingRelationalPropertyValueProvider.getPropertyValue (cognitive 18) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:456— ResolvingRelationalPropertyValueProvider.getPropertyValue has cognitive complexity 18 (threshold 15). Drivers by points: if/else 14, boolean chains 2, ternaries 2 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
QueryBlockBuilder.buildQuery (cognitive 18) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/JdbcCodeBlocks.java:204— QueryBlockBuilder.buildQuery has cognitive complexity 18 (threshold 15). Drivers by points: if/else 16, boolean chains 1, ternaries 1 (nesting depth added 4). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition, and where an else follows a branch that already returns, drop the trailing else and let the rest of the body continue at one level.
WritingContext.createNodes (cognitive 18) spring-data-relational/src/main/java/org/springframework/data/relational/core/conversion/WritingContext.java:277— WritingContext.createNodes has cognitive complexity 18 (threshold 15). Drivers by points: if/else 14, loops 4 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
MappingJdbcConverter.requireObjectArray (cognitive 17) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/MappingJdbcConverter.java:646— MappingJdbcConverter.requireObjectArray has cognitive complexity 17 (threshold 15). Drivers by points: if/else 17 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
MappingR2dbcConverter.writeProperties (cognitive 17) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/convert/MappingR2dbcConverter.java:211— MappingR2dbcConverter.writeProperties has cognitive complexity 17 (threshold 15). Drivers by points: if/else 16, loops 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
ExpressionEvaluatingParameterBinder.bindParameters (cognitive 17) spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/query/ExpressionEvaluatingParameterBinder.java:103— ExpressionEvaluatingParameterBinder.bindParameters has cognitive complexity 17 (threshold 15). Drivers by points: if/else 12, boolean chains 4, loops 1 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
SelectValidator.enter (cognitive 17) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/SelectValidator.java:83— SelectValidator.enter has cognitive complexity 17 (threshold 15). Drivers by points: if/else 11, boolean chains 6 (nesting depth added 2). To reduce it, split the body: most of this score is breadth rather than depth — checks laid out side by side rather than stacked — so group the statements between the checks into named steps and move each step into its own function. Some of it IS depth: where a check sits inside another whose only job is to reach it, merge the two into one condition.
RelationalExampleMapper.getMappedExample (cognitive 17) spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/RelationalExampleMapper.java:72— RelationalExampleMapper.getMappedExample has cognitive complexity 17 (threshold 15). Drivers by points: ternaries 8, if/else 6, boolean chains 1, loops 1, match/switch 1 (nesting depth added 5). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Change coupling clique: CascadingDataAccessStrategy.java, DefaultDataAccessStrategy.java, DelegatingDataAccessStrategy.java spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/CascadingDataAccessStrategy.java— 3 files — `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/CascadingDataAccessStrategy.java`, `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DefaultDataAccessStrategy.java`, `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/DelegatingDataAccessStrategy.java` — all change together with no explicit dependency: a fully-connected co-change clique, not 3 separate couplings. They share one concern (thin parallel siblings over a common abstraction), so extract the shared part into ONE unit and the whole clique's coupling clears at once — you do not need to break each pair individually.
Duplicated block (18 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:316— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:316-333 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:377-394 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:316` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (15 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:219— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:219-233 | spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/query/QueryMapper.java:286-300 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/convert/QueryMapper.java:219` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (6 lines × 3) spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:103— spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:103-108 | spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:155-160 | spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:235-240 — all 3 copies are in the same file, so extract the block into one function there and call it from every one of those sites — resolving only two of them leaves the rest to drift apart the first time one is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/render/UpsertStatementRenderers.java:235` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (5 lines × 2) spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateChangeExecutionContext.java:97— spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateChangeExecutionContext.java:97-101 | spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateChangeExecutionContext.java:118-123 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/JdbcAggregateChangeExecutionContext.java:97` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Recommendation — 7 finding(s)
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — Test source is present (.java) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 11 significant file(s) lose their only recent owner: spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/QueriesFactory.java, spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/query/StatementFactory.java, spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/repository/query/StringBasedR2dbcQuery.java, spring-data-r2dbc/src/main/java/org/springframework/data/r2dbc/convert/R2dbcCustomConversions.java, spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/config/JdbcRepositoryConfigExtension.java, spring-data-jdbc/src/main/java/org/springframework/data/jdbc/repository/aot/JdbcRepositoryContributor.java, spring-data-jdbc/src/main/java/org/springframework/data/jdbc/core/dialect/JdbcPostgresDialect.java, spring-data-relational/src/main/java/org/springframework/data/relational/core/sql/InfixOperation.java (+3 more). Pair on, review, or document these before any departure.
D16 · Bus Factor· Further sole-owners (lower concentration) · ×1
Further sole-owners (lower concentration) — 2 other contributor(s) are each the sole owner of a small amount of code below the off-boarding threshold — folded into the bus-factor score and metrics (13 single-owned of 272 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). They are anonymized user #2 (1 file(s)), anonymized user #3 (1 file(s)) — spread or document their files in the same way, at lower priority than the named off-boarding risks above.
D19 · Documentation Quality· The Getting Started section is cut at the Per interface example, leaving the reader unable to run the code shown in the teaser. · ×1
The Getting Started section is cut at the Per interface example, leaving the reader unable to run the code shown in the teaser. README.adoc— After the clip marker, add a sentence noting that the full starter code and its output are shown so readers can follow along.
D34 · Knowledge Freshness· Further orphaned files (smaller) · ×1
Further orphaned files (smaller) — 8 of 272 analysed file(s) have no living knowledge left — their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each — largest first: spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/CriteriaFactory.java, spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/RelationalQueryCreator.java, spring-data-relational/src/main/java/org/springframework/data/relational/repository/query/ParameterMetadataProvider.java (and 5 more). Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.
D38 · OSV Dependency Vulnerabilities· Scanner failed to run · ×1
Scanner failed to run — not a clean result — osv-scanner exited 128 with no findings — the advisory database was likely unreachable. The scanner exited non-zero and produced no findings (typically the advisory DB was unreachable), so this is reported as a measurement gap rather than a clean pass.
Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.java) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (JaCoCo XML — `mvn jacoco:report`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.
Info — 2 finding(s)
D12 · Dependency Hygiene· Dependency hygiene not measured · ×1
Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifests (a Maven POM and package.json) were found, but this pass cannot parse them for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.
D22 · Internal API Consistency· No exposed public API · ×1
No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
provenance: not applicable — The CI pipeline builds and tests but publishes no released artifact — no package publish, container push, GitHub release or deployment step. Supply-chain provenance, signing and SBOM attest RELEASED artifacts, so there is nothing to attest here. Add them to the release pipeline when this repo starts shipping artifacts (a published package, a container image, a deployed service or a tagged release).
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
0
—
Run 019fce86-69d9-7d2c-998a-a5be37e0c42d · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 10 · Warnings: 82 · Recommendations: 7 · Info: 2 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 04-08-2026 @ 20:45 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.