{
  "improvementProposal": {
    "id": "test_improvement_001",
    "date": "2025-10-10",
    "wave": 1,
    "proposedFor": "wave2",
    "overallGoal": "Increase quality score from 8.56 to 9.0+ while reducing code size by 30-40% through deeper meta-awareness and abstraction",
    "baselineMetrics": {
      "overallQualityScore": 8.56,
      "metaAwareness": 7.8,
      "averageLinesOfCode": 196,
      "structuralClarity": 8.6,
      "improvementSuggestionDiversity": "low"
    },
    "improvements": [
      {
        "id": "IMP-001",
        "name": "Deepen Meta-Awareness with Self-Modification",
        "category": "meta-awareness",
        "priority": "high",
        "rationale": "Wave 1 meta-awareness averaged 7.8/10 (lowest dimension). Meta-commentary is surface-level (logging) rather than deep introspection. Need recursive self-reflection and self-modification capabilities.",
        "specificChanges": [
          "Add MetaReasoning layer that explains WHY specific patterns/metrics were chosen",
          "Implement self-modification: code that can analyze and improve itself at runtime",
          "Include meta-meta commentary: reflection on the reflection process itself",
          "Track decision-making process (why this approach), not just outcomes (what happened)",
          "Add recursive depth levels: implementation → meta → meta-meta"
        ],
        "implementation": {
          "approach": "Add nested meta-levels",
          "example": "Component has .meta property with reasoning, .meta.meta with reflection on that reasoning",
          "codePattern": "class X { constructor() { this.meta = new MetaLayer(this); this.meta.meta = new MetaMetaLayer(this.meta); } }"
        },
        "measurableOutcome": {
          "metric": "metaAwareness",
          "currentValue": 7.8,
          "targetValue": 9.0,
          "measurementMethod": "Self-assessment scores in Wave 2 iterations"
        },
        "expectedImpact": {
          "metaAwarenessIncrease": "+1.2 points (7.8 → 9.0)",
          "qualityIncrease": "+0.15 points overall",
          "codeImpact": "+15-20 lines for meta-layers"
        }
      },
      {
        "id": "IMP-002",
        "name": "Reduce Verbosity via Base Class Abstraction",
        "category": "code-quality",
        "priority": "high",
        "rationale": "Wave 1 averaged 196 LOC with significant repetition. All files implement similar metrics tracking, console.log meta-commentary, and getMetrics() methods. Extract common patterns to base class.",
        "specificChanges": [
          "Create MetaAwareBase class with common metrics tracking infrastructure",
          "Extract metrics collection logic to shared MetricsCollector",
          "Move console.log meta-commentary to centralized MetaLogger",
          "Implement getMetrics() in base class, allow override for specific metrics",
          "Use composition: MetricsTracker mixin for cross-cutting concerns"
        ],
        "implementation": {
          "approach": "Inheritance + Composition",
          "example": "class MetaAwareBase { constructor() { this._metrics = new MetricsTracker(); this._logger = new MetaLogger(); } }",
          "codePattern": "Extend MetaAwareBase instead of repeating boilerplate"
        },
        "measurableOutcome": {
          "metric": "linesOfCode",
          "currentValue": 196,
          "targetValue": 120,
          "measurementMethod": "Line count of Wave 2 files"
        },
        "expectedImpact": {
          "locReduction": "-38% (196 → 120 LOC average)",
          "qualityIncrease": "+0.2 points in structural clarity",
          "maintainabilityIncrease": "significant (DRY principle applied)"
        }
      },
      {
        "id": "IMP-003",
        "name": "Diversify Improvement Suggestions Beyond Feature Addition",
        "category": "improvement-quality",
        "priority": "medium",
        "rationale": "All Wave 1 improvement suggestions follow 'Add X' pattern. No refactoring, simplification, or architectural improvements. Need diverse suggestion types.",
        "specificChanges": [
          "Include refactoring suggestions (improve existing code structure)",
          "Add simplification opportunities (remove unnecessary complexity)",
          "Suggest pattern transformations (change architectural approach)",
          "Consider non-code improvements (documentation, testing, deployment)",
          "Use categories: Feature Addition, Refactoring, Simplification, Transformation"
        ],
        "implementation": {
          "approach": "Categorized improvement taxonomy",
          "example": "Improvements: [Feature] Add caching, [Refactor] Extract method, [Simplify] Remove unused abstraction, [Transform] Change from class to functional",
          "codePattern": "Label each improvement with category tag"
        },
        "measurableOutcome": {
          "metric": "improvementSuggestionDiversity",
          "currentValue": "low (all feature additions)",
          "targetValue": "high (4+ categories represented)",
          "measurementMethod": "Count unique improvement categories in Wave 2"
        },
        "expectedImpact": {
          "improvementQualityIncrease": "more actionable, practical suggestions",
          "qualityIncrease": "+0.1 points in evolution potential",
          "realWorldApplicability": "higher (includes refactoring, not just features)"
        }
      }
    ],
    "cumulativeExpectedImpact": {
      "overallQualityScore": {
        "current": 8.56,
        "target": 9.0,
        "increase": "+0.44 points"
      },
      "metaAwareness": {
        "current": 7.8,
        "target": 9.0,
        "increase": "+1.2 points"
      },
      "structuralClarity": {
        "current": 8.6,
        "target": 8.8,
        "increase": "+0.2 points"
      },
      "averageLinesOfCode": {
        "current": 196,
        "target": 120,
        "reduction": "-38%"
      }
    },
    "implementationPlan": {
      "wave2": {
        "iterations": 3,
        "approach": "Apply all three improvements simultaneously",
        "focus": [
          "Iteration 1: Demonstrate deep meta-awareness with self-modification",
          "Iteration 2: Show abstraction reducing code size significantly",
          "Iteration 3: Exhibit diverse improvement suggestions across categories"
        ]
      }
    },
    "riskAssessment": {
      "risks": [
        {
          "risk": "Over-abstraction reducing clarity",
          "mitigation": "Ensure base class is well-documented and intuitive",
          "likelihood": "medium",
          "impact": "medium"
        },
        {
          "risk": "Meta-meta layers adding complexity",
          "mitigation": "Keep meta-levels simple and focused",
          "likelihood": "low",
          "impact": "low"
        },
        {
          "risk": "Improvement diversity reducing depth",
          "mitigation": "Ensure each category has specific, actionable suggestions",
          "likelihood": "low",
          "impact": "low"
        }
      ],
      "overallRisk": "low-medium",
      "confidence": "high (improvements address identified weaknesses directly)"
    },
    "validationCriteria": {
      "success": [
        "Wave 2 overall quality score ≥ 9.0",
        "Wave 2 meta-awareness average ≥ 9.0",
        "Wave 2 average LOC ≤ 130",
        "Wave 2 has ≥ 3 improvement categories represented",
        "All spec requirements still met (100% compliance)"
      ],
      "measurements": [
        "Calculate average quality scores from Wave 2 self-assessments",
        "Count lines of code in Wave 2 files",
        "Categorize improvement suggestions and count unique types",
        "Verify spec compliance checklist"
      ]
    }
  }
}
