Avanade/Liquid-Application-Framework

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.

Maturity: Documented → Verified → Prevented · effective 9.6 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cyclomatic complexity threshold of 15; the worst was DataverseEntityMapper.JsonToEntity at 20.

✓ On the Gold path — maintain.

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.

Maturity: Documented → Verified → Prevented · effective 9.8 / 10 · rule-coverage 100% · ceiling Prevented

1 method(s) exceeded the cognitive complexity threshold of 15; the worst was DataverseEntityMapper.JsonToEntity at 17.

✓ On the Gold path — maintain.

Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

0 god class(es) detected.

✓ On the Gold path — maintain.

Detailed fixes: d3_recommendation.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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

1 duplicated block group(s) detected.

✓ On the Gold path — maintain.

Detailed fixes: d4_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether volatile projects sit underneath others that depend on them (so their churn ripples upward), and whether project dependencies form cycles. A widely-depended-on but stable shared/kernel project is healthy, not penalised.

Method: Dependency cycles via elementary-DFS over real .csproj references, plus Martin instability (afferent/efferent) per project. Exhaustive over the reference graph, deterministic.

Coverage: Exhaustive · type-level: afferent/efferent coupling + cycles computed over every production type — the population is all types, not a name convention.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

32 projects, 0 dependency cycle(s), 0 unstable depended-on project(s).

✓ On the Gold path — maintain.

Detailed fixes: d5_recommendation.md.

What it measures: Whether a class's methods are focused on a single responsibility.

Method: LCOM4 cohesion per production class with at least two methods: connected components of methods sharing state or calls, computed syntactically. Deterministic, not a proxy.

Coverage: Exhaustive · type-level: LCOM4 cohesion computed over every production class — the population is all types, not a name convention.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 32 classes have LCOM4 above 3.

✓ On the Gold path — maintain.

Detailed fixes: d6_recommendation.md.

What it measures: Whether the test suite has a healthy mix of unit / integration / end-to-end tests.

Method: Test projects classified (Unit/Integration/BDD/E2E) from compiled metadata; test methods counted exhaustively across projects with placement-agnostic disk fallback. Deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

273 test methods: 273 unit, 0 integration, 0 BDD, 0 e2e.

✓ On the Gold path — maintain.

Detailed fixes: d9_recommendation.md.

What it measures: Whether the tests truly assert behaviour rather than just running the code.

Method: Per-test assertions, skips, and mock references analyzed via Roslyn; structured skip-reason tags (BUG:/ENV:) separate documented deferrals from debt. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.9 / 10 · rule-coverage 100% · ceiling Prevented

0 skipped, 2 zero-assertion, 16 mock references across 273 tests.

✓ On the Gold path — maintain.

Detailed fixes: d10_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether the tests pass reliably, with no flakiness.

Method: Suite re-run N times within tiered wall-clock budgets (unit to e2e); tests failing non-deterministically across runs flagged; guarded tests retried when #if guards detected.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 flaky across 1 measured tier(s). unit: measured (0 flaky).

✓ On the Gold path — maintain.

Detailed fixes: d11_recommendation.md.

What it measures: Whether dependencies are current, secure, and not bloated.

Method: Manifest scan via dotnet list package across all projects; worst-signal-per-package deduction (saturating for vulnerabilities, capped-linear for deprecation/outdated) per KLoC. Exhaustive, deterministic.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 outdated, 0 vulnerable, 0 deprecated packages.

✓ On the Gold path — maintain.

Detailed fixes: d12_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Prevented

Secret scan ran and found no leaked secrets.

✓ On the Gold path — maintain.

Detailed fixes: d13_recommendation.md.

What it measures: Whether the licenses of third-party packages are compatible with your policy.

Method: Third-party package licenses resolved from declared package metadata and checked against the configured policy (allow/deny/copyleft). Deterministic; clean = no incompatible license found at metadata depth.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Verified

0 of 62 packages use a banned license.

✓ On the Gold path — maintain.

Detailed fixes: d14_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

No churn × complexity hotspots in the window.

✓ On the Gold path — maintain.

Detailed fixes: d15_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 9.7 / 10 · rule-coverage 100% · ceiling Documented

2 source file(s) have their living knowledge concentrated in one author (≥90% of recent, decayed contribution). The largest is src/Liquid.GenAi.OpenAi/OpenAiAdapter.cs.

✓ On the Gold path — maintain.

Detailed fixes: d16_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Acknowledged debt left in the code — TODOs, dead code, suppressed warnings.

Method: Roslyn syntactic debt markers (suppressions/TODO/FIXME/HACK/empty-catch/commented-code/Obsolete) plus SymbolFinder dead-code analysis; weighted-debt-per-KLoC density deducted 2.0x per unit. Deterministic, exhaustive.

Maturity: Documented → Verified → Prevented · effective 6.9 / 10 · rule-coverage 100% · ceiling Prevented

32 deducted debt markers + 0 dead symbols across 10417 LoC (1.5/KLoC) → score 6.9.

+ 1 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

1. Resolve the 8 NoWarnInCsproj finding(s) in Explicit Debt — start with Liquid.Repository.Mongo.csproj (4), Liquid.Repository.EntityFramework.csproj (4). — One of this dimension's main actionable groups (8 issue-level).
2. Resolve the 5 ObsoleteWithCallers finding(s) in Explicit Debt — start with ILocalization.cs (2), JsonFileLocalization.cs (2), IServiceCollectionLiquidExtension.cs. — One of this dimension's main actionable groups (5 warning-level).
3. Resolve the 3 CommentedOutCode finding(s) in Explicit Debt — start with LocalizationTest.cs (3). — One of this dimension's main actionable groups (3 warning-level).
4. Enforce Explicit Debt in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.

Detailed fixes: d17_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether the solution is laid out in a sensible, conventional structure.

Method: Solution structure: project count, decomposition, shell-project detection, build success (confirmed failures cap the score); traced to actual .sln files and binaries. Deterministic.

Maturity: Documented → Verified → Prevented · effective 9.2 / 10 · rule-coverage 100% · ceiling Documented

32 projects, 305 source files, 15713 hand-written lines of code (10417 production / 5296 test), 16 inter-project edges.

✓ On the Gold path — maintain.

Detailed fixes: d18_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether architecture decisions are recorded well (context, decision, consequences).

Method: Per-ADR judgment by language model at low temperature with two-pass stability; confidence is share of ADRs evaluated; enforcement-field presence detected deterministically. Advisory.

Maturity: Documented → Verified → Prevented · effective Critical / 10 · rule-coverage 100% · ceiling Documented

No architecture decision records were found.

What to do

1. Resolve the 1 No ADRs found finding(s) in ADR Quality. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d20_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.

Maturity: Documented → Verified → Prevented · effective Strong / 10 · rule-coverage 100% · ceiling Verified

3 naming inconsistencies across 200 sampled symbols.

What to do

1. Resolve the 1 Inconsistent naming for context-related classes finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).
2. Resolve the 1 Inconsistent naming for cache operations finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).
3. Resolve the 1 Inconsistent naming for test methods finding(s) in Naming Consistency. — One of this dimension's main actionable groups (1 recommendation-level).

Detailed fixes: d21_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether the internal API surface is consistent and coherent.

Method: Judged by language model at low temperature over a sample of the public API surface (IsPackable or .Contracts types). Sampled, advisory; confidence discounted by model uncertainty.

Maturity: Documented → Verified → Prevented · effective Adequate / 10 · rule-coverage 100% · ceiling Verified

3 API inconsistencies across a 400-member sample of 171 exposed types.

What to do

1. Resolve the 1 Redundant synchronous methods on the implementation class that are not… finding(s) in Internal API Consistency. — One of this dimension's main actionable groups (1 warning-level).
2. Resolve the 1 Signature mismatch between interface and implementation. `ILiquidMapper`… finding(s) in Internal API Consistency. — One of this dimension's main actionable groups (1 warning-level).
3. Resolve the 1 The interface `ILiquidRepository` defines `FindByIdAsync`. The… finding(s) in Internal API Consistency. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d22_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether comments are worth it — explaining WHY (valuable) rather than WHAT (redundant).

Method: Judged by language model at low temperature (0.0-0.1) on deterministically sampled inline comments with surrounding code; findings verified back to sampled comments by substring match. Advisory, sampled.

Maturity: Documented → Verified → Prevented · effective Adequate / 10 · rule-coverage 100% · ceiling Documented

12 valuable / 2 redundant across 200 sampled comments; 2 shown with locations.

What to do

1. Resolve the 2 redundant comment finding(s) in Comment Value — start with LocalizationTest.cs (2). — One of this dimension's main actionable groups (2 recommendation-level).

Detailed fixes: d24_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether each project is a focused, coherent unit rather than an oversized grab-bag.

Method: Project size overshoot penalties (LoC / public-type count / namespace count, 2-of-3 flag) weighted by log magnitude. Exhaustive across projects, deterministic, LLM-independent.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

0 of 32 projects flagged as possibly oversized/incoherent.

✓ On the Gold path — maintain.

Detailed fixes: d26_recommendation.md.

What it measures: How far you must trace to follow a call — low indirection and co-located slices read easier.

Method: Call indirection (interface hops, cross-namespace calls, slice-locality scaled) over a sampled set of method invocations, size-aware baseline. Sampled; confidence discounted by symbol-resolution gaps.

Coverage: Slice locality from the first namespace segments, SAMPLED (≤400 methods) — not exhaustive.

Maturity: Documented → Verified → Prevented · effective 8.7 / 10 · rule-coverage 100% · ceiling Documented

91 % of calls cross a namespace and 13 % go through an interface, but 100 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.

What to do

1. Improve Navigability — currently 8.7/10. — 91 % of calls cross a namespace and 13 % go through an interface, but 100 % of collaborators are co-located — so a call's collaborators sit together and tracing stays easy. Baseline: medium — clean/modular boundaries expected.

Detailed fixes: d27_recommendation.md.

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.

Maturity: Documented → Verified → Prevented · effective 10.0 / 10 · rule-coverage 100% · ceiling Documented

gitleaks scanned the full history AND the current working tree and found no secrets.

✓ On the Gold path — maintain.

Detailed fixes: d28_recommendation.md.

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).

Maturity: Documented → Verified → Prevented · effective 1.8 / 10 · rule-coverage 100% · ceiling Documented

10 finding(s): 0 critical, 10 high, 0 medium, 0 low.

What to do

1. Resolve the 10 High finding(s) in Static Analysis (SAST) — start with base-liquid-ci-and-cd.yml (7), liquid-ci-cd-templates.yaml (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 any dependencies have known published vulnerabilities (CVEs), direct or transitive.

Method: NuGet CVE scan via dotnet list package --vulnerable including transitive; severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer. Exhaustive, deterministic; degrades when absent.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

24 vulnerable package(s): 2 critical, 12 high, 10 medium, 0 low.

What to do

1. Resolve the 12 High CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (12 issue-level).
2. Resolve the 10 Medium CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (10 warning-level).
3. Resolve the 2 Critical CVE finding(s) in Dependency Vulnerabilities. — One of this dimension's main actionable groups (2 issue-level).

Detailed fixes: d30_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.

Maturity: Documented → Verified → Prevented · effective 0.3 / 10 · rule-coverage 100% · ceiling Documented

61 of 63 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is src/Liquid.Core/Extensions/ObjectExtension.cs.

What to do

1. Resolve the 1 Dormant codebase finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).

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.

Maturity: Documented → Verified → Prevented · effective 9.8 / 10 · rule-coverage 100% · ceiling Documented

Strongest change-coupling: LiquidCultureDecorator.cs↔LiquidScopedLoggingDecorator.cs 80%; MongoClientFactory.cs↔MongoDataContext.cs 73%; IMongoClientFactory.cs↔MongoRepository.cs 67%

✓ On the Gold path — maintain.

Detailed fixes: d35_recommendation.md · top locations in Appendix A, every location in findings.md.

What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.

Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.

Maturity: Documented → Verified → Prevented · effective 0.0 / 10 · rule-coverage 100% · ceiling Documented

0/4 supply-chain integrity signals present (provenance, signing, SBOM, pinned actions).

+ 2 more group(s) — more in Appendix A; the complete list is findings.md.

What to do

1. Resolve the 1 Build action pinned to a mutable branch finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 issue-level).
2. Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
3. Resolve the 1 Workflow token permissions not restricted finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).

Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.

Other · Architecture — Whether any singleton service captures a scoped/transient dependency — a silent lifetime/threading bug.

Method: Roslyn scan: DI registrations parsed from AddSingleton/Scoped/Transient; each singleton checked for captured shorter-lifetime dependencies. Exhaustive, deterministic.

• `KafkaProducer` is registered as a SINGLETON but its constructor takes `IKafkaFactory factory`, which is registered as Transient. The singleton captures one instance of the transient dependency forever — defeating its lifetime (a per-request DbContext shared across all requests is a classic data-corruption/threading bug). Make the singleton resolve `IKafkaFactory` per-use (inject `IServiceScopeFactory` or a factory func), or align the lifetimes. — KafkaProducer.cs:17
• `KafkaConsumer` is registered as a SINGLETON but its constructor takes `IKafkaFactory kafkaFactory`, which is registered as Transient. The singleton captures one instance of the transient dependency forever — defeating its lifetime (a per-request DbContext shared across all requests is a classic data-corruption/threading bug). Make the singleton resolve `IKafkaFactory` per-use (inject `IServiceScopeFactory` or a factory func), or align the lifetimes. — KafkaConsumer.cs:16
• `LiquidDataverse` is registered as a SINGLETON but its constructor takes `IDataverseClientFactory serviceFactory`, which is registered as Transient. The singleton captures one instance of the transient dependency forever — defeating its lifetime (a per-request DbContext shared across all requests is a classic data-corruption/threading bug). Make the singleton resolve `IDataverseClientFactory` per-use (inject `IServiceScopeFactory` or a factory func), or align the lifetimes. — LiquidDataverse.cs:11

What to do

• Don't inject scoped/transient services into singletons; resolve them per-use via IServiceScopeFactory or a factory delegate, or align the lifetimes.

Other · Architecture — How the codebase splits by code ROLE — domain, application, infrastructure, test, generated. The significance map behind the knowledge/coupling weighting, and a DDD signal in its own right: a thin domain core under fat infrastructure is the anemic-domain smell, quantified.

Method: Roslyn line-count by code ROLE: every source file classified Domain/Application/Infrastructure/Test/Generated by namespace + path convention (the shared CodeRoleClassifier), then significant lines summed per role. Deterministic; the advisory score is the business-logic (domain+application) share of production code.

Coverage: Population: ALL source files, each bucketed into ONE of five roles (Domain/Application/Infrastructure/Test/Generated) by namespace + path convention — a file whose layer isn't named in the convention falls to Application (the neutral default), and the split is line-count, not semantic depth or business value.

What to do

• The domain core is a small share of production code — check that business logic isn't leaking into the application/infrastructure layers (a thin domain is the anemic-domain smell).

Other · Architecture — Whether singleton services avoid mutable shared instance state that concurrent callers would race on.

Method: Roslyn scan: singleton field mutations unguarded by lock or Interlocked, per type; syntax-based guard detection. Deterministic, traceable per field.

• `KafkaConsumer` is a singleton (one shared instance) but mutates instance state outside any lock (_client; e.g. `_client` at line 51). — KafkaConsumer.cs:16
• `RabbitMqFactory` is a singleton (one shared instance) but mutates instance state outside any lock (_connection, _model, _disposed; e.g. `_connection` at line 39). — RabbitMqFactory.cs:10
• `RabbitMqConsumer` is a singleton (one shared instance) but mutates instance state outside any lock (_channelModel; e.g. `_channelModel` at line 61). — RabbitMqConsumer.cs:21
• `BlobClientFactory` is a singleton (one shared instance) but mutates instance state outside any lock (_clients; e.g. `_clients` at line 35). — BlobClientFactory.cs:7
• `DataverseEntityMapper` is a singleton (one shared instance) but mutates instance state outside any lock (_entitiesMetadata; e.g. `_entitiesMetadata` at line 52). — DataverseEntityMapper.cs:14
• `OpenAiClientFactory` is a singleton (one shared instance) but mutates instance state outside any lock (_openAiClients; e.g. `_openAiClients` at line 76). — OpenAiClientFactory.cs:13

What to do

• Keep singletons stateless or back their state with thread-safe types (Concurrent*/Immutable*); otherwise concurrent callers race.

Other · Architecture — Whether the project-reference graph is acyclic (cycles block independent build/deploy and signal eroding boundaries).

Method: Project reference cycles via elementary-DFS over real .csproj references, using the engine shared with D5/D7; cyclic versus acyclic. Exhaustive, deterministic.

Other · Architecture — Whether dependencies point inward (Domain ← Application ← Infrastructure/Web) — the clean-architecture dependency rule, checked across the project graph.

Method: Layer violations by name-segment inference (Domain/Core to Application to Infrastructure/Web) over the project-reference graph. Exhaustive over all projects, deterministic.

Other · Architecture — Whether the codebase has a recognisable, scale-appropriate structure (a named architectural style, or modular enough for its size) rather than being an ad-hoc ball of mud.

Method: Roslyn plus csproj analysis: architecture style detection (DDD, clean, vertical-slice, CQRS) and structure fitness for repo size. Deterministic.

Other · Architecture — Whether interfaces stay focused rather than fat — the Interface-Segregation principle (SOLID 'I').

Method: Roslyn scan: public interface member counts; fat-interface threshold (over 15 members) flagged per type. Deterministic, type-level.

Other · Architecture — Whether production projects stay free of references to test projects — tests may depend on production, never the reverse.

Method: Csproj graph: each production project checked for references to test projects (identified by test-framework presence, not name). Zero violations is clean. Deterministic.

Other · Security — Whether sensitive data is encrypted at rest and in transit and keys are vaulted.

Method: Roslyn plus filesystem scan: encryption presence (EF ColumnEncryption, key-vault references, HTTPS enforcement) and key-derivation KDF detection. Deterministic.

• No data-protection or encryption usage (ASP.NET Data Protection, AES, column encryption, PBKDF2) was found — sensitive data at rest may be unprotected. If TDE/KMS/vault is delegated to infrastructure, ignore.

What to do

• Encrypt sensitive data at rest (ASP.NET Core Data Protection / column encryption) and manage keys in a vault. Skip if delegated to infra (Postgres TDE, KMS, etc.).

Other · Code Health — Unreviewed-generation residue: shipped members still throwing NotImplementedException, and placeholder string literals left in non-test, non-generated code. Scored as a quality signature, never as a claim about authorship.

Method: Roslyn syntax scan: NotImplementedException throws and placeholder string literals in non-test, non-generated shipped code. Deterministic, code-shape signature.

• A shipped member still throws NotImplementedException — generated scaffolding that was never completed. Implement it or remove the dead surface. (×4) — ServiceBusConsumer.cs:45, KafkaConsumer.cs:46, RabbitMqConsumer.cs:58, …

What to do

• Finish or delete NotImplementedException stubs and replace placeholder literals before shipping.

Other · Code Health — Unfinished work detected by code SHAPE, not keywords: members that only throw a "not implemented" exception, methods that take inputs and return a constant, async methods that never await, dead `if (false)` / `#if false` branches, and skeleton types most of whose members are holes. A real, objective slice of technical debt.

Method: Roslyn syntax scan: incompleteness by code shape (constant-returning methods, async-never-await, #if false branches, skeleton types), not keyword-gated. Deterministic, code-shape heuristic.

• `FindAllAsync` is declared `async` but never awaits anything, so it runs synchronously while pretending to be asynchronous. Drop `async` or do the real async work. — EntityFrameworkRepository.cs:60
• `FindByIdAsync` is declared `async` but never awaits anything, so it runs synchronously while pretending to be asynchronous. Drop `async` or do the real async work. — EntityFrameworkRepository.cs:68
• `WhereAsync` is declared `async` but never awaits anything, so it runs synchronously while pretending to be asynchronous. Drop `async` or do the real async work. — EntityFrameworkRepository.cs:95

What to do

• Remove the dead code that still moves this score: delete dead if(false) / #if false branches and either do the real async work or drop the async keyword from fake-async methods.

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 '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 32 of 32 project(s) that lack one — worth up to 2 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 — decisions aren't captured for future maintainers.

What to do

• Start an ADR log (docs/adr/) recording significant decisions and their rationale.

Maturity · Maturity — Whether the repo is organised deliberately — src/test separation and consistent project naming.

Method: Filesystem scan: src/test folder separation and namespace-prefix consistency (majority RootNamespace agreement). Exhaustive across projects, deterministic.

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.

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 — For a library: a deliberate (small) public API surface and explicit semantic versioning so consumers can depend on it safely.

Method: Roslyn scan: public API surface area and semantic-versioning markers (SemVer attributes, changelog entries) for libraries. Exhaustive, deterministic.

• 195/204 types (96%) are public. For a library, every public type is a stability contract — make internal-by-default and expose only the intended API.

What to do

• Make types internal by default; expose only the deliberate public API so internals can change without breaking consumers.

Readiness · Readiness — Whether the code is diagnosable in production — structured logging, tracing/metrics, health checks.

Method: Filesystem/Roslyn scan: structured-logging frameworks (Serilog, NLog), OpenTelemetry, and health-check endpoint patterns. Exhaustive, deterministic.

• Only 3/16 service-like projects use logging (pure contract/DTO projects are excluded — they have nothing to log).

What to do

• Extend structured logging to the remaining service-like projects so the whole executable surface is diagnosable in production.
• Consider OpenTelemetry tracing/metrics and a health-check endpoint for operability.

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

• 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.

• No release automation was found in CI — neither a deploy stage (Helm/Kubernetes/compose manifests, an orchestrated rollout) nor a publish job that ships the built artifact. Releases appear to be run by hand, which is slower, less repeatable and harder to reverse.

What to do

• Automate the release in CI — a deploy stage for a service (Helm/Kubernetes manifests or an equivalent rollout), or a tag-triggered publish job for an artifact — so releases are repeatable and reversible.

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.

• No CHANGELOG/HISTORY/RELEASES file — what shipped when isn't easy to reconstruct for support or audit. (Versioning/tagging makes releases traceable, but a changelog records the what.)

What to do

• Keep a changelog (e.g. Keep-a-Changelog) recording what shipped in each release.

Readiness · Readiness — Whether outbound HTTP calls are wrapped in resilience (retry/timeout/circuit-breaker) so a failing dependency doesn't cascade.

Method: Roslyn scan: Polly resilience markers (Retry, CircuitBreaker, Timeout) on outbound HTTP invocations. Computed per type, deterministic.

Readiness · Readiness — Whether EF Core schema changes go through versioned migrations rather than the un-evolvable EnsureCreated().

Method: Roslyn scan: EF Core DbContext for a versioned migrations directory versus bare EnsureCreated usage. Exhaustive per project, deterministic.

• EF Core is used but neither migrations nor EnsureCreated were detected — confirm how the production schema is created and evolved.

What to do

• Adopt a versioned schema-migration mechanism (with EF Core: dotnet ef migrations add + Migrate() on startup) as the explicit, versioned schema strategy — no migration mechanism was detected.

Readiness · Performance — Whether the library protects its performance with benchmarks — a benchmark suite, allocation/memory measurement, and (ideally) a CI gate. Presence is credited as a bonus, never a deduction.

Method: Repo + source scan: BenchmarkDotNet referenced (csproj/source), [Benchmark]/[MemoryDiagnoser] attribute counts, and a benchmark step in CI — scored as a bonus ladder (absence is neutral, never a deduction). Deterministic, presence detection.

• No benchmark suite was found. For a performance-sensitive library, a benchmark guards against silent regressions — but it's a bonus here, not a deduction.

What to do

• Add a benchmarking harness for the hot paths and run it in CI to catch regressions (for .NET, a BenchmarkDotNet project with [MemoryDiagnoser] to track allocations).

Readiness · Performance — Whether the code is written to minimise allocations so it doesn't pressure its host's memory manager — buffer/slice views over copies, object pooling, stack or value-type allocation, and buffer writers. Reward-only: credited where present, never penalised where a simpler style is fine.

Method: Production-source scan: density (per 1k LoC) of allocation-aware APIs — Span/Memory, ArrayPool/ObjectPool, stackalloc, ValueTask, value-type structs, IBufferWriter, string.Create, SkipLocalsInit. Reward-only. Deterministic, syntax/text detection.

• No Span/Memory, pooling (ArrayPool/ObjectPool), stackalloc, ValueTask or buffer-writer usage was found. If this library sits on a hot path, these reduce the GC pressure it puts on its host — a bonus, not a requirement.

What to do

• On hot paths, prefer Span<T>/ReadOnlySpan<T>, ArrayPool<T>, stackalloc and ValueTask to cut allocations a consumer would otherwise inherit.

Readiness · Performance — Whether asynchronous code keeps its host responsive — a library awaits with ConfigureAwait(false) (so it never captures and stalls the host's context) and avoids sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) that wastes threads and risks deadlock.

Method: Production-source scan: sync-over-async blocking (.Wait()/.GetAwaiter().GetResult()) counted everywhere, and — for a library with ≥5 awaits — the share of awaits using ConfigureAwait(false). Deterministic, syntax/text detection.

• Only 3/113 awaits use ConfigureAwait(false). A library that captures the caller's context can stall or deadlock its host — the classic way a dependency drags an app down.

What to do

• In library code, append .ConfigureAwait(false) to every await (or set <ConfigureAwait>false</ConfigureAwait> / use the analyzer CA2007) so the library never captures the host's context.

Other · Security — Transport security, security headers, secure cookies, input validation, middleware order and crypto hygiene (presence, not runtime).

Method: Roslyn plus filesystem scan: HSTS/security headers, secure cookies, input validation, middleware order, weak crypto (MD5/SHA1/DES); HTTPS-metadata context-aware. Deterministic.

• No Content-Security-Policy / X-Frame-Options / X-Content-Type-Options configuration found — defense in depth, even when a reverse proxy could set them. (−2.0 on this card.)

What to do

• Add security response headers (Content-Security-Policy, X-Frame-Options, X-Content-Type-Options) — defense in depth, even when a reverse proxy could set them.

Other · Code Health — Whether the code avoids sync-over-async (deadlock-prone blocking on tasks) and async void.

Method: Roslyn syntax scan: async methods scanned for .Wait()/.GetAwaiter().GetResult() and async-void outside event handlers. Deterministic, hard fact per invocation.

Other · Code Health — Whether async methods accept a CancellationToken so work can be cancelled (adoption curve).

Method: Roslyn scan: every async method (excluding framework-fixed overrides/Blazor handlers) checked for CancellationToken parameter presence. Deterministic, adoption percentage.

• Only 14/28 async methods accept a CancellationToken, so in-flight work can't be stopped early when the caller gives up — whatever ends it in your host (shutdown signal, timeout, abandoned request, user cancel). Thread a token through the call chain and honour it at each await and loop; where a method genuinely cannot be interrupted, omitting it is a deliberate choice — judge against your hosting model.
• No CancellationToken parameter — this work can't be stopped early once started. (×11) — IMongoCollectionExtensions.cs:20, IMongoCollectionExtensions.cs:70, IMongoCollectionExtensions.cs:88, …
• No CancellationToken parameter — the body observes an ambient token instead (a field or a context object), so the work does stop on cancellation, but a caller cannot cancel this call independently of the owner that created that token. (×3) — IMongoCollectionExtensions.cs:38, IMongoCollectionExtensions.cs:54, ServiceBusConsumer.cs:62

What to do

• Thread a CancellationToken through async methods so work stops promptly on cancellation.

Other · Code Health — Whether exceptions are handled rather than silently swallowed or rethrown with lost stack traces.

Method: Roslyn syntax scan: every catch clause counted; empty catches and bare rethrows flagged. Population is all catch clauses, not estimated. Deterministic, hard fact.

Other · Code Health — Whether log calls use message templates (queryable) rather than interpolated strings.

Method: Roslyn syntax scan: every log call-site counted; interpolated-string first-argument violations flagged. Population is all log calls, not estimated. Deterministic.

Other · Code Health — Whether nullable reference types are enabled and not undermined by heavy `!` suppression.

Method: Roslyn compiler-options scan: NullableContextOptions per project; null-forgiving (!) suppression density per 1k syntax nodes. Deterministic, adoption plus suppression penalty.

• 8/16 projects enable <Nullable>enable</Nullable>. NRTs catch a whole class of null-deref bugs at compile time.

What to do

• Enable <Nullable>enable</Nullable> across all projects and resolve warnings rather than suppressing with `!`.