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architecture-evolution-tracking

Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.

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name
architecture-evolution-tracking
description
Track architectural decisions and detect drift from ADRs (Architecture Decision Records). Calculate alignment score (0.00-1.00) showing code-to-design conformance. Auto-detect architectural violations and suggest refactoring. Integrate with Serena for architectural health monitoring. Use when: maintaining architectural integrity, reviewing large changes, documenting decisions, detecting drift, enforcing standards.
skill-type
STRUCTURAL
shannon-version
>=5.6.0
mcp-requirements
{"recommended":[{"name":"serena","purpose":"Architecture compliance tracking, alerting, metrics"},{"name":"structure101","purpose":"Dependency analysis and architecture visualization"},{"name":"sonargraph","purpose":"Architecture quality metrics"},{"name":"qmstool","purpose":"Dependency structure matrix"}]}
allowed-tools
All
# Architecture Evolution Tracking - Quantified Design Alignment ## Purpose Maintain alignment between code and architectural decisions. Calculate alignment score (0.00-1.00) showing conformance to ADRs. Auto-detect violations like circular dependencies, layer violations, and unauthorized coupling. Track architecture health via Serena MCP. ## When to Use - Reviewing large architectural changes - Detecting unauthorized couplings between modules - Monitoring compliance with ADRs - Preventing architectural drift - Planning refactoring work - Measuring architecture quality evolution ## Core Metrics **Alignment Score Calculation:** ``` Score = 1.0 - (Violations / Total Dependencies) × 1.0 Range: 0.00 (complete chaos) to 1.00 (perfect alignment) Violations: Unauthorized dependencies, circular refs, layer violations Total Dependencies: All module-to-module connections Example: 5 violations in 200 dependencies = 0.975 score ``` **Violation Types & Impact:** - Circular dependencies: -0.15 per cycle - Layer violations: -0.10 per violation - Unauthorized coupling: -0.05 per edge - Missing abstraction: -0.05 per case **Architecture Scoring:** ``` Component: User Authentication Service ├─ Allowed dependencies: Core, Utils ├─ Actual dependencies: Core, Utils, Payment (VIOLATION) ├─ Violations: 1 (unauthorized Payment coupling) ├─ Alignment: 0.90 (1 violation in 10 deps) └─ Status: ⚠️ Review needed Component: Payment Processing ├─ Allowed: Core, Database, Logging ├─ Actual: Core → Auth (CIRCULAR), Database, Logging ├─ Violations: 2 (circular + missing abstraction) ├─ Alignment: 0.80 └─ Status: ❌ Critical refactoring needed ``` ## Workflow ### Phase 1: ADR Definition 1. **Document decisions**: Create ADRs for major design choices 2. **Define boundaries**: Specify allowed module dependencies 3. **Set rules**: Layer separation, coupling limits 4. **Establish baseline**: Calculate initial alignment **ADR Format Example:** ``` ADR-001: Layered Architecture Decision: Implement 4-layer architecture: ├─ Presentation (API, UI) ├─ Business Logic (Services) ├─ Data Access (Repositories) └─ Infrastructure (Database, Cache) Rules: ✓ Presentation → Business Logic ✓ Business Logic → Data Access ✓ Data Access → Infrastructure ✗ Backwards dependencies forbidden ✗ No cross-layer skipping ``` ### Phase 2: Drift Detection 1. **Analyze dependencies**: Map actual code connections 2. **Compare to ADRs**: Identify deviations 3. **Classify violations**: Circular, layer breach, unauthorized 4. **Calculate score**: Quantify alignment 5. **Generate report**: Violations with locations **Drift Detection Report:** ``` Architecture Alignment Score: 0.82 Status: ⚠️ Acceptable but drifting Violations (5 total): 1. [CRITICAL] Circular: Auth ← → Payment (bidirectional) Files: src/auth/service.ts, src/payment/processor.ts Recommendation: Extract shared logic to Core module 2. [HIGH] Layer violation: UI imports Payment (skips Logic) Files: src/ui/checkout.tsx imports src/payment/api.ts Recommendation: Route through Service layer 3. [MEDIUM] Unauthorized: Logging imports Caching Files: src/logging/logger.ts imports src/cache/redis.ts Recommendation: Move redis to Infrastructure, use interface Trend: Score dropped 0.05 over 2 weeks (drifting) ``` ### Phase 3: Refactoring Guidance 1. **Suggest refactors**: Extract abstractions, break cycles 2. **Rank by impact**: Highest score improvement first 3. **Provide examples**: Show architecture-preserving patterns 4. **Estimate effort**: Complexity of each refactor **Auto-Generated Refactoring Plan:** Option A (Impact: +0.08, Effort: Medium): ``` Extract PaymentInterface from Payment service ├─ Create: src/core/interfaces/payment.ts ├─ Define: interface IPaymentProcessor ├─ Auth uses interface, not concrete Payment └─ Breaks circular dependency ``` Option B (Impact: +0.05, Effort: Low): ``` Move caching utilities to Infrastructure ├─ Move: src/cache → src/infrastructure/caching ├─ Update imports in 3 files ├─ Preserves layer separation ``` ### Phase 4: Serena Integration 1. **Track alignment**: Store score by commit, date 2. **Alert on drift**: Notify if score drops >0.05 3. **Correlate commits**: Identify who introduced violations 4. **Forecast trend**: Predict alignment in 30 days 5. **Schedule refactoring**: Plan when to fix violations **Serena Push Format:** ```json { "metric_type": "architecture_alignment", "project": "task-app", "alignment_score": 0.82, "violations": { "circular": 1, "layer_breach": 2, "unauthorized": 2 }, "violating_modules": [ "auth", "payment", "ui" ], "refactoring_priority": "HIGH", "estimated_effort_hours": 16, "timestamp": "2025-11-20T14:00:00Z" } ``` ## Real-World Impact **Enterprise CRM System:** - Alignment score started: 0.65 (heavy circular dependencies) - Serena tracked violations: 8 circular, 12 layer breaches - Systematic refactoring over 6 sprints - Final score: 0.94 (improved +0.29) - Benefits: 40% reduction in integration bugs, easier testing **Microservices Migration:** - Initial: 0.88 (monolith had clean layers) - Split into 5 services: 0.72 (interdependencies created drift) - Serena alerted on 15 cross-service violations - Implemented saga pattern + event bus - Restored to 0.91 (services truly independent) ## Success Criteria ✅ Alignment score ≥0.90 maintained ✅ No circular dependencies ✅ All layers properly separated ✅ Violations tracked in Serena with remediation plans ✅ New code reviewed against ADRs ✅ Refactoring priorities data-driven by alignment impact
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