ICW Test Design: Task Template Cross-Wiring Section
Task ID: E5:S01:T35
ICW Cycle: ICW-COULD-HAVE-20260312
Status: TEST DESIGN COMPLETE
Priority: MEDIUM
Created: 2026-03-12
Project Manager Agent: PM-AGENT-002
Test Strategy Overview
This test design provides comprehensive validation for the Task Template Cross-Wiring Section implementation. The testing approach covers unit testing, integration testing, performance testing, and user acceptance testing to ensure robust functionality and seamless integration.
Test Categories
1. Unit Tests (Component-Level Testing)
Test 1.1: Cross-Wiring Engine Core Functionality
- Objective: Validate core engine operations
- Test Cases:
- Parse valid cross-wiring configurations
- Handle invalid configurations gracefully
- Validate relationship integrity
- Process relationship updates
- Expected Results: 100% success rate for valid inputs, proper error handling for invalid inputs
Test 1.2: Relationship Mapper Functionality
- Objective: Validate relationship mapping operations
- Test Cases:
- Create bi-directional relationships
- Update existing relationships
- Delete relationships with cleanup
- Handle relationship conflicts
- Expected Results: Accurate relationship mapping with proper conflict resolution
Test 1.3: Dependency Tracker Validation
- Objective: Validate dependency tracking algorithms
- Test Cases:
- Detect circular dependencies
- Analyze dependency chains
- Calculate dependency depth
- Generate dependency reports
- Expected Results: Accurate dependency analysis with circular dependency detection
Test 1.4: Template Integrator Testing
- Objective: Validate template integration functionality
- Test Cases:
- Parse cross-wiring YAML syntax
- Extract relationships from templates
- Validate template syntax
- Generate template reports
- Expected Results: Correct template parsing and relationship extraction
Test 1.5: Visualization Generator Testing
- Objective: Validate visualization generation
- Test Cases:
- Generate relationship graphs
- Export to multiple formats (SVG, PNG, HTML)
- Handle large relationship graphs
- Apply styling and formatting
- Expected Results: High-quality visual outputs in all supported formats
2. Integration Tests (System-Level Testing)
Test 2.1: Kanban Framework Integration
- Objective: Validate integration with kanban system
- Test Cases:
- Update kanban board with relationship indicators
- Generate task cards with relationship links
- Handle status updates with dependency awareness
- Validate relationship data consistency
- Expected Results: Seamless kanban integration with accurate relationship display
Test 2.2: Documentation System Integration
- Objective: Validate documentation integration
- Test Cases:
- Generate "Related Tasks" sections
- Create bidirectional cross-references
- Update documentation on relationship changes
- Validate documentation consistency
- Expected Results: Automatic documentation updates with accurate cross-references
Test 2.3: Template System Integration
- Objective: Validate template system integration
- Test Cases:
- Process templates with cross-wiring syntax
- Validate templates with relationship checks
- Generate relationship reports from templates
- Handle template inheritance and overrides
- Expected Results: Complete template integration with relationship validation
3. Performance Tests (Scalability Testing)
Test 3.1: Relationship Query Performance
- Objective: Validate performance of relationship queries
- Test Cases:
- Query relationships in small graphs (< 100 tasks)
- Query relationships in medium graphs (100-1000 tasks)
- Query relationships in large graphs (> 1000 tasks)
- Measure query response times
- Expected Results: Query times under 100ms for all graph sizes
Test 3.2: Visualization Performance
- Objective: Validate visualization generation performance
- Test Cases:
- Generate graphs for small relationship sets
- Generate graphs for medium relationship sets
- Generate graphs for large relationship sets
- Measure generation times
- Expected Results: Generation times under 5 seconds for all graph sizes
Test 3.3: Template Processing Performance
- Objective: Validate template processing performance
- Test Cases:
- Process simple templates
- Process complex templates with many relationships
- Process template batches
- Measure processing times
- Expected Results: Processing times under 1 second per template
4. User Acceptance Tests (End-to-End Testing)
Test 4.1: Basic Workflow Testing
- Objective: Validate basic user workflows
- Test Cases:
- Create task with cross-wiring configuration
- Update relationships between tasks
- Generate relationship visualizations
- View relationship information in documentation
- Expected Results: Intuitive workflow with successful completion
Test 4.2: Advanced Workflow Testing
- Objective: Validate advanced user workflows
- Test Cases:
- Handle complex dependency chains
- Manage relationship conflicts
- Generate comprehensive relationship reports
- Integrate with existing kanban workflows
- Expected Results: Advanced workflows with proper conflict resolution
Test Data and Scenarios
Test Scenario 1: Simple Relationship Mapping
test_data:
task_id: "E5:S01:T35"
relationships:
depends_on:
- task_id: "E4:S11:T07"
type: "hard_dependency"
relates_to:
- task_id: "E5:S01:T31"
type: "coordination"
Test Scenario 2: Complex Dependency Chain
test_data:
task_id: "E5:S01:T35"
relationships:
depends_on:
- task_id: "E4:S11:T07"
type: "hard_dependency"
- task_id: "E6:S07:T18"
type: "soft_dependency"
relates_to:
- task_id: "E5:S01:T31"
type: "coordination"
- task_id: "E5:S03:T01"
type: "coordination"
Test Scenario 3: Circular Dependency Detection
test_data:
task_id: "E5:S01:T35"
relationships:
depends_on:
- task_id: "E5:S01:T31"
type: "hard_dependency"
# E5:S01:T31 depends on E5:S01:T35 (creates circular dependency)
Test Scenario 4: Large Relationship Graph
test_data:
task_count: 1000
relationship_density: 0.1 # 10% of possible relationships
relationship_types: ["hard_dependency", "soft_dependency", "coordination"]
Test Environment Setup
Development Environment
- Python Version: 3.8+
- Dependencies: pytest, yaml, graphviz, networkx
- Test Framework: pytest with fixtures and parametrization
- Coverage Target: 90%+ code coverage
Integration Environment
- Kanban System: Test instance with sample data
- Documentation System: Test documentation repository
- Template System: Sample templates with cross-wiring syntax
- Mock Services: External service mocking for isolation
Performance Environment
- Hardware: Standard development machine
- Data Sets: Various sizes for performance testing
- Monitoring: Performance metrics collection
- Baseline: Performance benchmarks for comparison
Success Criteria
Functional Success Criteria
- ✅ All Unit Tests Pass: 100% pass rate for component tests
- ✅ All Integration Tests Pass: 100% pass rate for system tests
- ✅ Performance Benchmarks Met: All performance criteria satisfied
- ✅ User Acceptance Tests Pass: 95%+ pass rate for UAT
Quality Success Criteria
- ✅ Code Coverage: 90%+ test coverage achieved
- ✅ No Critical Defects: Zero critical or high-priority defects
- ✅ Documentation Complete: All test documentation complete and accurate
- ✅ Performance Standards: All performance metrics within acceptable ranges
Integration Success Criteria
- ✅ Kanban Integration: Seamless integration with kanban system
- ✅ Documentation Integration: Automatic documentation updates working
- ✅ Template Integration: Template processing with cross-wiring syntax
- ✅ Backward Compatibility: No breaking changes to existing systems
Test Execution Plan
Phase 1: Unit Testing (Week 1)
- Day 1-2: Cross-Wiring Engine and Relationship Mapper tests
- Day 3-4: Dependency Tracker and Template Integrator tests
- Day 5: Visualization Generator tests and code coverage analysis
Phase 2: Integration Testing (Week 2)
- Day 1-2: Kanban Framework integration tests
- Day 3-4: Documentation and Template System integration tests
- Day 5: End-to-end integration testing and defect resolution
Phase 3: Performance and UAT (Week 3)
- Day 1-2: Performance testing and optimization
- Day 3-4: User acceptance testing and feedback collection
- Day 5: Final test validation and test report generation
Test Deliverables
Test Artifacts
- Test Cases: Detailed test case documentation
- Test Data: Sample data sets for various scenarios
- Test Scripts: Automated test execution scripts
- Test Reports: Comprehensive test execution reports
Quality Metrics
- Code Coverage Reports: Detailed coverage analysis
- Performance Reports: Performance benchmark results
- Defect Reports: Complete defect tracking and resolution
- UAT Results: User acceptance testing outcomes
Risk Mitigation
Testing Risks
- Test Environment Issues: Environment setup and configuration problems
- Test Data Quality: Inadequate or incorrect test data
- Performance Variability: Inconsistent performance test results
Mitigation Strategies
- Environment: Automated environment setup and validation
- Data Quality: Comprehensive test data validation and review
- Performance: Statistical analysis and multiple test runs
Test Design Status: COMPLETE
Next Phase: Implementation Planning
PM-AGENT-002 Approval: REQUIRED
ICW Cycle Progress: 2/3 COMPLETE