Implement rev-requirements: Generate comprehensive requirements document from codebase analysis
This PR implements the rev-requirements functionality requested in issue #339, which generates a comprehensive requirements document by reverse-engineering the existing Aplin codebase.
What was implemented
The implementation analyzes the Android application codebase and generates a structured requirements document following the EARS (Easy Approach to Requirements Syntax) notation. The analysis covers:
Core Analysis Areas
- Functional Requirements: 25 requirements extracted from UseCase classes, UI components, and business logic
- Non-functional Requirements: 18 requirements covering performance, security, usability, reliability, maintainability, and operations
- User Stories: 6 comprehensive stories derived from UI flows and user interactions
- Edge Cases: 11 scenarios identified from error handling and validation code
- Acceptance Criteria: Based on existing test suite with 85% confidence rating
Key Features Analyzed
The reverse engineering process identified and documented:
- Application listing and categorization (User apps, Disableable apps, Disabled apps, All apps)
- Search and filtering functionality
- Android system integration (app settings, web search, sharing)
- Google AdMob integration with GDPR compliance
- Clean Architecture implementation with Domain/Data/UI layers
- Comprehensive error handling and edge case management
EARS Notation Implementation
Requirements are properly categorized using EARS syntax:
- SHALL requirements: Standard functional implementations
- WHEN/IF-THEN requirements: Conditional logic from code branches
- WHERE requirements: State-based requirements from UI state management
- MAY requirements: Optional features and preferences
- MUST requirements: System constraints and validation rules
Output
The generated document docs/reverse/Aplin-requirements.md provides:
- System overview and user personas
- Detailed functional requirements with implementation evidence
- Non-functional requirements across all quality attributes
- Edge cases and error scenarios
- Acceptance criteria derived from existing tests
- Analysis confidence metrics and limitations
- Recommendations for additional testing and validation
This reverse-engineered requirements document serves as a comprehensive specification for the existing Aplin application, enabling better understanding of the system's capabilities and facilitating future development and maintenance activities.
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