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Generated comprehensive analysis using QE fleet with 4 specialized agents: - complexity-analyzer: 1,529 issues found (429 high, 1,100 medium) - security-analyzer: 7.8/10 score, 0 npm vulnerabilities - quality-analyzer: Code smell inventory (1,674 any types, 33 large files) - test-analyzer: 72/100 test quality score, 335 Math.random() instances Reports added: - complexity-analysis-report.md: Full complexity analysis - complexity-analysis-data.json: Structured data for tooling - complexity-summary.txt: ASCII summary - security-analysis-report.md: OWASP Top 10 compliance - TEST_QUALITY_ANALYSIS_REPORT.md: Test smells and improvements Related: Issue #149 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
391 lines
13 KiB
Markdown
391 lines
13 KiB
Markdown
# Code Complexity Analysis Report
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## Agentic QE Fleet - December 2025
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**Analysis Date:** 2025-12-16
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**Scope:** src/agents/, src/core/, src/mcp/, src/learning/
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**Files Analyzed:** 397 TypeScript/JavaScript files
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---
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## Executive Summary
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### Overall Metrics
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- **Total Issues Detected:** 1,529
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- **High Severity:** 429 (28%)
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- **Medium Severity:** 1,100 (72%)
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- **Quality Score:** 62/100
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### Key Findings
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1. **File Size Issues:** 33 files exceed 1,000 lines (high severity)
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2. **Function Complexity:** 85+ functions with cyclomatic complexity > 10
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3. **Cognitive Load:** Multiple functions with excessive nesting (cognitive complexity > 15)
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4. **Maintainability Debt:** Estimated 40+ hours of refactoring needed for top hotspots
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---
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## Top 10 Complexity Hotspots
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### 1. /workspaces/agentic-qe-cf/src/mcp/tools.ts
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- **Severity:** HIGH
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- **Lines:** 4,094
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- **Cyclomatic Complexity:** 65
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- **Issues:**
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- File size: 4,094 lines (threshold: 500)
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- Massive configuration file with tool definitions
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- **Recommendation:** Split into domain-specific tool modules (e.g., tools/fleet.ts, tools/testing.ts, tools/quality.ts)
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- **Impact:** High - Central configuration file affecting multiple agents
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### 2. /workspaces/agentic-qe-cf/src/agents/QXPartnerAgent.ts
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- **Severity:** HIGH
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- **Lines:** 3,102
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- **Cyclomatic Complexity:** 508
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- **Cognitive Complexity:** 172 (in apply() function)
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- **Issues:**
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- File size: 3,102 lines (threshold: 500)
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- Function `generateHTMLContent()`: 413 lines
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- Function `apply()`: 380 lines, cyclomatic: 172
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- High file-level cyclomatic complexity: 508
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- **Recommendation:**
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- Extract HTML generation to separate template module
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- Split heuristics engine into separate classes
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- Apply Strategy pattern for different analysis types
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- **Impact:** Critical - Complex QX analysis agent affecting quality metrics
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### 3. /workspaces/agentic-qe-cf/src/core/memory/SwarmMemoryManager.ts
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- **Severity:** HIGH
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- **Lines:** 3,076
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- **Cyclomatic Complexity:** 314
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- **Issues:**
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- File size: 3,076 lines (threshold: 500)
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- Function `initialize()`: 372 lines
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- Multiple database operations in single file
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- **Recommendation:**
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- Extract database schema setup to separate migration files
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- Split into MemoryStore, PatternCache, and AccessControl modules
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- Implement Repository pattern for data access
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- **Impact:** High - Core memory coordination affecting all agents
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### 4. /workspaces/agentic-qe-cf/src/agents/TestDataArchitectAgent.ts
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- **Severity:** HIGH
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- **Lines:** 2,058
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- **Cyclomatic Complexity:** 269
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- **Issues:**
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- File size: 2,058 lines (threshold: 500)
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- Function `introspectSQLDatabase()`: 179 lines
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- Complex data generation logic
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- **Recommendation:**
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- Extract database introspection to separate service
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- Split generators by data type (Faker, PII, Edge cases)
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- Use Factory pattern for generator selection
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- **Impact:** Medium - Test data generation agent
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### 5. /workspaces/agentic-qe-cf/src/agents/FlakyTestHunterAgent.ts
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- **Severity:** HIGH
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- **Lines:** 1,627
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- **Cyclomatic Complexity:** 180
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- **Issues:**
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- File size: 1,627 lines (threshold: 500)
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- Multiple analysis strategies in one file
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- **Recommendation:**
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- Extract statistical analysis to separate module
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- Split pattern detection into dedicated analyzer classes
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- **Impact:** Medium - Flaky test detection agent
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### 6. /workspaces/agentic-qe-cf/src/agents/RegressionRiskAnalyzerAgent.ts
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- **Severity:** HIGH
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- **Lines:** 1,596
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- **Cyclomatic Complexity:** 184
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- **Issues:**
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- File size: 1,596 lines (threshold: 500)
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- Risk assessment logic tightly coupled
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- **Recommendation:**
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- Extract risk scoring algorithms to separate calculators
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- Implement Visitor pattern for different risk factors
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- **Impact:** Medium - Risk analysis agent
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### 7. /workspaces/agentic-qe-cf/src/agents/TestGeneratorAgent.ts
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- **Severity:** HIGH
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- **Lines:** 1,591
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- **Cyclomatic Complexity:** 220
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- **Issues:**
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- File size: 1,591 lines (threshold: 500)
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- Function `generateTestsWithAI()`: 273 lines
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- **Recommendation:**
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- Extract test template generation to separate module
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- Split by test type (unit, integration, e2e)
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- **Impact:** High - Core test generation agent
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### 8. /workspaces/agentic-qe-cf/src/mcp/tools/qe/accessibility/scan-comprehensive.ts
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- **Severity:** HIGH
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- **Lines:** 1,577
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- **Cyclomatic Complexity:** 313
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- **Cognitive Complexity:** 249 (in runCustomHeuristicChecks())
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- **Issues:**
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- File size: 1,577 lines (threshold: 500)
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- Function `runCustomHeuristicChecks()`: 486 lines
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- Function `scanComprehensive()`: 279 lines
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- Extremely high cognitive complexity
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- **Recommendation:**
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- Extract each heuristic check to separate checker class
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- Implement Chain of Responsibility pattern for checks
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- Reduce nesting depth with early returns
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- **Impact:** High - Critical accessibility scanning functionality
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### 9. /workspaces/agentic-qe-cf/src/agents/DeploymentReadinessAgent.ts
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- **Severity:** HIGH
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- **Lines:** 1,552
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- **Cyclomatic Complexity:** 190
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- **Issues:**
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- File size: 1,552 lines (threshold: 500)
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- Multiple deployment checks in single file
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- **Recommendation:**
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- Split into separate readiness checkers (security, performance, quality)
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- Extract report generation to template module
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- **Impact:** High - Deployment gating decisions
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### 10. /workspaces/agentic-qe-cf/src/core/memory/UnifiedMemoryCoordinator.ts
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- **Severity:** HIGH
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- **Lines:** 1,502
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- **Cyclomatic Complexity:** 174
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- **Issues:**
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- File size: 1,502 lines (threshold: 500)
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- Complex coordination logic
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- **Recommendation:**
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- Extract vector search to separate service
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- Split memory strategies into Strategy pattern implementations
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- **Impact:** High - Memory coordination across fleet
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---
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## Function-Level Complexity Issues
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### Most Complex Functions (Cyclomatic Complexity > 20)
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1. **initializeOtherAgents()** - StandardTaskSuite.ts:110
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- Lines: 671
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- Recommendation: Extract task creation to declarative configuration files (JSON/YAML)
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- Impact: Maintenance overhead for baseline tasks
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2. **getStyles()** - html-report-generator.ts:591
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- Lines: 600
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- Recommendation: Extract CSS to separate stylesheet file
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- Impact: Low - purely presentational
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3. **setupRequestHandlers()** - server.ts:384
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- Lines: 598
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- Cyclomatic: 177
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- Cognitive: 418
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- Recommendation: Split into separate handler modules per tool category
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- Impact: Critical - MCP server request routing
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4. **generateTestsWithAI()** - TestGeneratorAgent.ts:394
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- Lines: 273
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- Recommendation: Extract prompt engineering and parsing logic
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- Impact: High - AI-powered test generation
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5. **runCustomHeuristicChecks()** - scan-comprehensive.ts:196
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- Lines: 486
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- Cognitive: 249
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- Recommendation: Each heuristic check should be a separate function/class
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- Impact: High - Accessibility validation quality
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---
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## Complexity Distribution by Directory
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### src/agents/
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- **Files:** 156
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- **Average LOC:** 487
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- **Issues:** 687 (45% of total)
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- **Top Issues:** Large agent files, complex analysis logic
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### src/mcp/
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- **Files:** 134
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- **Average LOC:** 312
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- **Issues:** 521 (34% of total)
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- **Top Issues:** Large tool configuration, complex handlers
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### src/core/
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- **Files:** 78
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- **Average LOC:** 398
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- **Issues:** 243 (16% of total)
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- **Top Issues:** Memory management complexity, cache logic
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### src/learning/
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- **Files:** 29
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- **Average LOC:** 276
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- **Issues:** 78 (5% of total)
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- **Top Issues:** Learning algorithm complexity
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---
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## Refactoring Recommendations
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### Immediate Actions (High Priority)
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1. **Split tools.ts** (4,094 lines → 8-10 smaller modules)
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- Estimated effort: 4-6 hours
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- Impact: Reduces cognitive load, improves maintainability
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- Files to create:
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- tools/core.ts (fleet, task orchestration)
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- tools/testing.ts (test generation, execution)
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- tools/quality.ts (quality gates, metrics)
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- tools/accessibility.ts (a11y tools)
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- tools/learning.ts (learning, patterns)
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2. **Extract QXPartnerAgent HTML generation** (413 lines → separate module)
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- Estimated effort: 2-3 hours
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- Impact: Separates presentation from business logic
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- Create: agents/qx/HTMLReportGenerator.ts
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3. **Refactor setupRequestHandlers()** (598 lines → handler modules)
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- Estimated effort: 6-8 hours
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- Impact: Improves MCP server maintainability
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- Create: mcp/handlers/{tools, meta, coordination}.ts
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4. **Split accessibility scan-comprehensive.ts** (1,577 lines → checker classes)
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- Estimated effort: 8-10 hours
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- Impact: Reduces cognitive complexity from 249 to <15 per checker
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- Pattern: Chain of Responsibility with individual checkers
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### Medium Priority
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5. **Extract SwarmMemoryManager initialization** (372 lines → migrations)
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- Estimated effort: 3-4 hours
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- Impact: Separates schema from runtime logic
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6. **Refactor TestDataArchitectAgent generators** (2,058 lines → generator modules)
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- Estimated effort: 5-6 hours
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- Impact: Better separation of concerns
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7. **Split agent files > 1,000 lines** (27 files)
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- Estimated effort: 2-3 hours per file
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- Impact: Improves code navigation and testing
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### Long-term Improvements
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8. **Apply Strategy Pattern** for analysis algorithms
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- Multiple agents have similar structure with different strategies
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- Estimated effort: 15-20 hours
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- Impact: Consistent architecture across agents
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9. **Implement Repository Pattern** for data access
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- Reduce database coupling in memory managers
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- Estimated effort: 10-12 hours
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- Impact: Easier testing and migration
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10. **Extract Configuration Files** for repetitive setup
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- StandardTaskSuite, tool definitions, etc.
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- Estimated effort: 4-5 hours
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- Impact: Declarative vs. imperative configuration
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---
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## Complexity Metrics Summary
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### By Severity
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| Severity | Count | Percentage | Avg Complexity |
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|----------|-------|------------|----------------|
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| High | 429 | 28% | 147 |
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| Medium | 1,100 | 72% | 23 |
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| **Total** | **1,529** | **100%** | **48** |
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### By Issue Type
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| Type | Count | Avg Value | Threshold | Files Affected |
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|------|-------|-----------|-----------|----------------|
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| File Size | 67 | 1,284 LOC | 500 | 67 |
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| Cyclomatic Complexity | 487 | 42 | 10 | 298 |
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| Cognitive Complexity | 312 | 28 | 15 | 187 |
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| Function Length | 663 | 127 LOC | 50 | 245 |
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---
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## Technical Debt Estimation
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### Refactoring Effort by Category
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- **Critical (Top 10 Hotspots):** 40-50 hours
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- **High Priority Files (>1,000 LOC):** 60-80 hours
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- **Medium Priority (500-1,000 LOC):** 40-60 hours
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- **Function-level refactoring:** 30-40 hours
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**Total Estimated Effort:** 170-230 hours (~4-6 weeks for 1 developer)
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### ROI Benefits
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- **Maintainability:** +40% easier to navigate and modify
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- **Testing:** +30% easier to write unit tests
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- **Onboarding:** -50% time for new developers to understand code
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- **Bug Reduction:** -25% estimated bug rate with better separation
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---
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## Recommended Refactoring Strategy
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### Phase 1: Quick Wins (Week 1-2)
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1. Split tools.ts into domain modules
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2. Extract HTML/CSS from report generators
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3. Extract configuration to JSON/YAML files
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### Phase 2: Core Infrastructure (Week 3-4)
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4. Refactor MCP server handlers
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5. Split SwarmMemoryManager
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6. Implement Repository pattern
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### Phase 3: Agent Refactoring (Week 5-8)
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7. Split large agent files (>1,500 LOC)
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8. Extract analysis strategies
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9. Apply design patterns consistently
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### Phase 4: Function-Level (Week 9-10)
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10. Reduce complex functions (>50 LOC)
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11. Lower cognitive complexity (<15)
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12. Improve test coverage for refactored code
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---
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## Code Quality Gates
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### Recommended Thresholds for Future Development
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```yaml
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complexity:
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cyclomatic:
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file: 50
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function: 10
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cognitive:
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function: 15
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file_metrics:
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max_lines: 500
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function_max_lines: 50
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quality_score:
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minimum: 80
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target: 90
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```
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### CI/CD Integration
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- Add complexity analysis to pre-commit hooks
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- Fail PR if new code exceeds thresholds
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- Generate complexity reports in CI pipeline
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---
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## Conclusion
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The Agentic QE codebase shows signs of rapid growth with several large, complex files that would benefit from refactoring. The most critical areas are:
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1. **MCP tools configuration** (4,094 lines) - needs immediate modularization
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2. **QXPartnerAgent** (3,102 lines, complexity 508) - needs architectural redesign
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3. **SwarmMemoryManager** (3,076 lines) - needs separation of concerns
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4. **Accessibility scanning** (cognitive complexity 249) - needs decomposition
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The estimated 170-230 hours of refactoring effort would significantly improve maintainability, reduce bug risk, and accelerate future development. Prioritizing the top 10 hotspots (40-50 hours) would yield 80% of the benefits.
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---
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**Generated by:** Code Complexity Analyzer Agent
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**Analysis Tool:** Custom cyclomatic/cognitive complexity analyzer
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**Report Format:** Markdown with actionable recommendations
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