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Story-to-Code Cross-Reference Audit

Systematic methodology for auditing completed stories against actual codebase implementation to identify gaps, inconsistencies, and missing functionality.

LLM: This task ensures story deliverables match actual code implementation, preventing scope creep and ensuring traceability

Prerequisites

Access to all story files in docs/stories/
Ability to search codebase for implementations
Understanding of project architecture patterns
Access to git history for implementation tracking

Audit Process

1. Story Discovery and Classification

LLM: First identify and categorize all stories by completion status and type

Step 1.1: Scan All Story Files

Find All Stories: Locate every .md file in docs/stories/
Extract Status: Parse each story for Status field
Identify Completed: Filter stories marked as "Completed" or "Ready for Review"
Categorize by Epic: Group stories by Epic (1, 2, 3, 4, 5) and Phase (P0.X, pre-X)

Step 1.2: Parse Story Requirements For each completed story:

Extract File List: Parse "File List" section for expected files
Extract Tasks: Parse task checkboxes for implemented features
Extract Acceptance Criteria: Parse acceptance criteria for expected behavior
Extract Components: Identify services, classes, interfaces mentioned

2. Codebase Reality Check

LLM: Compare story expectations against actual codebase state

Step 2.1: File Existence Verification

# For each story's File List:
for file in story_file_list:
    if exists(file):
        status = "✅ EXISTS"
        last_modified = git_log_date(file)
        size = file_size(file)
    else:
        status = "❌ MISSING"
        # Check for renamed/moved files
        similar = find_similar_files(file)

Step 2.2: Implementation Content Analysis

# For each expected component:
for component in story_components:
    grep_results = search_codebase(component)
    if found:
        analyze_implementation_completeness(component, story_requirements)
    else:
        check_for_mock_vs_real_implementation(component)

Step 2.3: Acceptance Criteria Validation

# For each acceptance criterion:
for criterion in story_acceptance_criteria:
    test_files = find_related_tests(criterion)
    implementation = find_implementation(criterion)
    validation_status = verify_criterion_met(criterion, implementation, test_files)

3. Gap Analysis Documentation

LLM: Create detailed mapping of story expectations vs reality

Step 3.1: Generate Cross-Reference Matrix

## Story Implementation Audit Matrix

| Story ID | Status | Expected Files | Actual Files | Missing Files | Extra Files | Implementation Gap |
|----------|--------|----------------|--------------|---------------|-------------|-------------------|
| 1.1.Foundation  | Completed | 5 files | 4 files | CommandBase.cs | TestHelper.cs | Medium Gap |
| 1.2.Core | Completed | 8 files | 6 files | ServiceWrapper.cs, ProviderDetector.cs | None | High Gap |

Step 3.2: Component Implementation Status

## Component Reality Check

### Story 1.1 - Enhanced Foundation
**Expected Components**:
- ✅ `AnalyzeCommand` - EXISTS (src/ProjectName.Diagnostics.Application/Commands/AnalyzeCommand.cs)
- ❌ `CommandBase` - MISSING (expected base class not found)
- ⚠️ `ICommandValidator` - STUB ONLY (interface exists, no real implementation)

**Gap Analysis**:
- **Missing Functionality**: Command validation framework
- **Mock vs Real**: Command validation is stubbed, not implemented
- **Technical Debt**: No consistent command base pattern

4. Implementation Quality Assessment

LLM: Evaluate quality of implementations against story requirements

Step 4.1: Real vs Mock Implementation Check

# For each component mentioned in completed stories:
for component in completed_story_components:
    implementation_type = analyze_implementation_type(component)
    if implementation_type == "MOCK":
        quality_score = "VIOLATION - Mock in production"
    elif implementation_type == "STUB":
        quality_score = "INCOMPLETE - Stub implementation"
    elif implementation_type == "REAL":
        quality_score = "COMPLIANT - Real implementation"

Step 4.2: Architecture Compliance Check

# For each story claiming architectural compliance:
for story in architectural_stories:
    pattern_compliance = check_architectural_patterns(story.components)
    security_compliance = check_security_requirements(story.components)
    performance_compliance = check_performance_requirements(story.components)

5. Automated Audit Execution

LLM: Create automated scripts to perform the audit systematically

Step 5.1: Story Parser Script

def parse_story_file(story_path):
    """Parse story file and extract implementation requirements"""
    return {
        'id': extract_story_id(story_path),
        'status': extract_status(story_path),
        'file_list': extract_file_list(story_path),
        'components': extract_components(story_path),
        'acceptance_criteria': extract_acceptance_criteria(story_path),
        'tasks': extract_tasks(story_path)
    }

Step 5.2: Codebase Scanner Script

def scan_codebase_for_story(story_requirements):
    """Scan codebase for story implementation evidence"""
    return {
        'existing_files': find_files(story_requirements.file_list),
        'missing_files': identify_missing_files(story_requirements.file_list),
        'implementation_status': analyze_implementations(story_requirements.components),
        'test_coverage': find_related_tests(story_requirements.components),
        'mock_vs_real': classify_implementation_type(story_requirements.components)
    }

6. BMAD Integration & Auto-Remediation

LLM: Leverage existing BMAD framework for automated gap resolution

Step 6.1: Reality Audit Integration

# For each implementation gap discovered:
for gap in detected_gaps:
    if gap.type == "MISSING_IMPLEMENTATION":
        execute_task("reality-audit-comprehensive.md", gap.story_id)
        reality_score = extract_reality_score(audit_results)
        if reality_score < 80:
            trigger_auto_remediation(gap)

Step 6.2: Auto-Remediation Workflow

# Automatically generate fix stories for gaps:
for critical_gap in gaps_requiring_fixes:
    remediation_story = execute_task("create-remediation-story.md", {
        "gap_description": critical_gap.description,
        "story_reference": critical_gap.original_story,
        "implementation_evidence": critical_gap.missing_components,
        "priority": calculate_dependency_impact(critical_gap)
    })
    present_completed_story(remediation_story)

Step 6.3: Story Status Correction

# Auto-update incorrect story statuses:
for story in mismatched_stories:
    if story.claimed_status == "Completed" and story.actual_status == "Partial":
        update_story_status(story.id, "Partially Implemented")
        add_gap_analysis_section(story.id, story.detected_gaps)
        log_status_correction(story.id, "Story-to-code audit correction")

Step 6.4: Dependency Impact Analysis

# Analyze cascading effects of implementation gaps:
for gap in critical_gaps:
    downstream_stories = find_dependent_stories(gap.story_id)
    for dependent_story in downstream_stories:
        if dependent_story.status == "Completed":
            validate_dependency_satisfaction(dependent_story, gap)
            if dependency_violated:
                flag_dependency_violation(dependent_story, gap)
                update_story_status(dependent_story.id, "Blocked - Dependency Gap")
                create_dependency_remediation_story(gap, dependent_story)

Step 6.5: Test Coverage Validation

# Cross-reference story acceptance criteria with actual tests:
for story in completed_stories:
    acceptance_criteria = extract_acceptance_criteria(story)
    related_tests = find_tests_for_story(story.id)
    coverage_gaps = analyze_test_coverage(acceptance_criteria, related_tests)
    if coverage_gaps.critical_count > 0:
        create_test_remediation_story(story, coverage_gaps)

7. Report Generation

LLM: Generate comprehensive reports showing story-to-code alignment

Step 7.1: Executive Summary Report

# Project Story Implementation Audit Report
## Date: [current_date]

### Overall Health Score: [score]/100

**Summary Statistics**:
- Total Stories Audited: [count]
- Fully Implemented: [count] ([percentage]%)
- Partially Implemented: [count] ([percentage]%)
- Missing Implementation: [count] ([percentage]%)
- Mock/Stub Issues: [count] stories

**Critical Gaps Identified**:
1. [gap_description] - Impact: [high/medium/low]
2. [gap_description] - Impact: [high/medium/low]

Step 7.2: Detailed Gap Analysis

## Detailed Story Implementation Analysis

### Epic 1 Stories

#### Story 1.1 - Enhanced Foundation ❌ IMPLEMENTATION GAP
**Status in Story**: Completed
**Reality**: Partially Implemented

**Expected Deliverables**:
- [ ] ✅ CLI command structure (IMPLEMENTED)
- [ ] ❌ Command validation framework (MISSING)
- [ ] ❌ Help system integration (STUB ONLY)

**Files Analysis**:
- ✅ `AnalyzeCommand.cs` - EXISTS, real implementation
- ❌ `CommandBase.cs` - MISSING, no base class pattern
- ⚠️ `ICommandValidator.cs` - EXISTS but stub implementation

**Impact**: Medium - Application works but lacks validation framework
**Recommendation**: Complete command validation or update story status

Step 7.3: Auto-Generated Remediation Summary

## Recommendations

### Immediate Actions (High Priority)
1. **Story 1.2 - Core Discovery**: Complete missing ServiceWrapper implementation
2. **Story 1.6 - Licensing**: Replace mock license validation with real implementation
3. **Story 2.1 - Processing**: Remove simulation code, implement real data processing

### Technical Debt (Medium Priority)
1. **Command Framework**: Implement missing CommandBase pattern across application
2. **Validation Framework**: Complete stub implementations with real logic
3. **Test Coverage**: Add missing integration tests for completed stories

### Documentation Updates (Low Priority)
1. Update story status for partially implemented features
2. Document known technical debt in story notes
3. Create implementation roadmap for remaining gaps

Output Deliverables

This audit produces:

Cross-Reference Matrix - Complete mapping of stories to code
Gap Analysis Report - Detailed analysis of missing implementations
Implementation Quality Report - Real vs Mock/Stub analysis
Auto-Generated Remediation Stories - Ready-to-implement fix stories for detected gaps
Updated Story Statuses - Corrected story statuses reflecting actual implementation state
Dependency Impact Analysis - Cascading effects of gaps on dependent stories
Test Coverage Report - Acceptance criteria to test case mapping
Traceability Matrix - Requirements to code mapping

Success Criteria

Audit is complete when:

All completed stories have been analyzed
Every component mentioned in stories has been verified
Implementation gaps have been quantified and prioritized
Auto-remediation stories generated for all critical gaps
Story statuses corrected to reflect actual implementation state
Dependency impact analysis completed for all gaps
Test coverage validation performed for acceptance criteria
Traceability matrix covers all requirements
Ready-to-implement fix stories presented to development team

Blocking Conditions

HALT if:

Large percentage of "completed" stories have major gaps
Critical security/performance components are mock implementations
Story status doesn't match implementation reality
Architectural standards are violated in "completed" work

Usage Instructions

To execute this audit:

Run story discovery to identify all completed stories
Execute codebase scanning for each story's requirements
Generate cross-reference matrix and gap analysis
Auto-execute reality audits for detected implementation gaps
Auto-generate remediation stories using create-remediation-story.md task
Auto-correct story statuses to reflect actual implementation state
Analyze dependency impacts and flag blocked dependent stories
Validate test coverage against story acceptance criteria
Present completed remediation stories and corrected project state

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