198 lines
8.3 KiB
Markdown
198 lines
8.3 KiB
Markdown
# Test Priorities Matrix for Risk-Based Testing
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## Priority Classification Framework
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Test scenarios should be prioritized using a Risk-Based Testing approach that considers both **Business Impact** and **Failure Probability**.
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## Risk Assessment Matrix
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```
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HIGH PROBABILITY MEDIUM PROBABILITY LOW PROBABILITY
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HIGH │ P1 │ P1 │ P2 │
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IMPACT │ (CRITICAL) │ (CRITICAL) │ (HIGH) │
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│ │ │ │
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────────┼───────────────────┼────────────────────┼────────────────┤
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MEDIUM │ P1 │ P2 │ P3 │
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IMPACT │ (CRITICAL) │ (HIGH) │ (MEDIUM) │
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│ │ │ │
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────────┼───────────────────┼────────────────────┼────────────────┤
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LOW │ P2 │ P3 │ P4 │
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IMPACT │ (HIGH) │ (MEDIUM) │ (LOW) │
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```
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## Priority Definitions
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### P1 - Critical Priority
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**Characteristics**: High business impact with any probability of failure
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**Test Coverage**: 100% automated + comprehensive manual testing
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**Execution Frequency**: Every build and deployment
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**Response Time**: Immediate fix required
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**Examples**:
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- User authentication and authorization
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- Payment processing and transactions
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- Data security and privacy functions
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- Core business workflow features
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- System availability and performance
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### P2 - High Priority
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**Characteristics**: Medium-high business impact or high probability issues
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**Test Coverage**: Automated where possible + targeted manual testing
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**Execution Frequency**: Daily or per release cycle
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**Response Time**: Fix within 24-48 hours
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**Examples**:
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- User registration and profile management
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- Data export and reporting features
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- Non-critical integrations with third-party services
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- Advanced search and filtering capabilities
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- Notification and messaging systems
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### P3 - Medium Priority
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**Characteristics**: Medium impact with medium probability
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**Test Coverage**: Strategic automation + periodic manual validation
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**Execution Frequency**: Weekly or per sprint
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**Response Time**: Fix within sprint or next release
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**Examples**:
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- UI polish and visual improvements
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- Non-essential feature enhancements
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- Performance optimizations for edge cases
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- Accessibility improvements beyond compliance
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- Analytics and tracking features
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### P4 - Low Priority
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**Characteristics**: Low impact and low probability of failure
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**Test Coverage**: Minimal automated testing + exploratory manual testing
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**Execution Frequency**: Per major release
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**Response Time**: Fix when resources available
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**Examples**:
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- Cosmetic UI adjustments
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- Nice-to-have convenience features
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- Edge case error message improvements
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- Advanced customization options
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- Experimental or beta features
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## Business Impact Assessment
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### High Business Impact Factors
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- **Revenue Impact**: Directly affects sales, subscriptions, or transactions
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- **User Retention**: Critical to user satisfaction and retention
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- **Compliance Risk**: Regulatory or legal compliance requirements
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- **Security Risk**: Data breaches or unauthorized access potential
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- **Reputation Risk**: Public-facing failures affecting brand reputation
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- **Operational Risk**: System downtime or critical workflow interruption
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### Medium Business Impact Factors
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- **User Experience**: Affects usability but not core functionality
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- **Efficiency**: Impacts user productivity but has workarounds
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- **Data Integrity**: Non-critical data loss or corruption potential
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- **Integration**: Third-party service disruption with backup options
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- **Performance**: Degraded performance but system remains functional
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### Low Business Impact Factors
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- **Cosmetic Issues**: Visual or aesthetic problems
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- **Convenience Features**: Nice-to-have functionality
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- **Edge Cases**: Rare scenarios with minimal user impact
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- **Advanced Features**: Features used by small user percentage
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- **Non-Critical Analytics**: Tracking or reporting that's not essential
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## Failure Probability Assessment
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### High Probability Factors
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- **New Features**: Recently developed functionality
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- **Complex Logic**: Intricate business rules or calculations
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- **External Dependencies**: Integration with unreliable third-party services
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- **High Usage Areas**: Frequently used features with heavy load
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- **Historical Issues**: Areas with previous bug reports or failures
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- **Technology Changes**: New frameworks, libraries, or infrastructure
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### Medium Probability Factors
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- **Modified Code**: Existing features with recent changes
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- **Moderate Complexity**: Standard business logic implementation
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- **Stable Dependencies**: Well-established third-party integrations
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- **Moderate Usage**: Regularly used but not heavily trafficked features
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- **Proven Technology**: Mature, well-tested technology stack
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### Low Probability Factors
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- **Stable Code**: Long-established, unchanged functionality
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- **Simple Logic**: Straightforward, well-understood implementations
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- **Internal Components**: No external dependencies
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- **Low Usage**: Rarely accessed features
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- **Well-Tested Areas**: High test coverage with proven stability
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## Testing Strategy by Priority
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### P1 - Critical Testing Strategy
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**Test Types**:
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- Comprehensive unit testing (95%+ coverage)
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- Full integration testing of all scenarios
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- End-to-end testing of complete user journeys
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- Performance testing under load
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- Security penetration testing
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- Accessibility compliance validation
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**Automation Level**: 90%+ automated
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**Manual Testing**: Exploratory testing and edge case validation
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**Monitoring**: Real-time alerting and monitoring in production
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### P2 - High Testing Strategy
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**Test Types**:
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- Thorough unit testing (85%+ coverage)
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- Key integration scenarios testing
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- Primary user journey end-to-end testing
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- Basic performance validation
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- Security review and testing
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**Automation Level**: 80%+ automated
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**Manual Testing**: User acceptance testing and usability validation
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**Monitoring**: Regular health checks and performance monitoring
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### P3 - Medium Testing Strategy
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**Test Types**:
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- Standard unit testing (75%+ coverage)
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- Critical integration paths
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- Core functionality end-to-end testing
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- Performance spot checks
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**Automation Level**: 70%+ automated
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**Manual Testing**: Periodic regression testing
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**Monitoring**: Basic error tracking and user feedback
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### P4 - Low Testing Strategy
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**Test Types**:
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- Basic unit testing (60%+ coverage)
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- Smoke testing for basic functionality
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- Manual exploratory testing
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**Automation Level**: 50%+ automated
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**Manual Testing**: Ad-hoc testing during development
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**Monitoring**: User feedback and error logs
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## Implementation Guidelines
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### For QA Agent
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1. **Risk Assessment**: Use this matrix to classify all test scenarios
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2. **Resource Allocation**: Spend 60% of effort on P1, 25% on P2, 10% on P3, 5% on P4
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3. **Test Planning**: Create test plans that reflect priority classifications
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4. **Quality Gates**: Establish different criteria for different priority levels
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### For PM Agent
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1. **Feature Prioritization**: Consider testing priority in feature planning
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2. **Release Planning**: Ensure P1 features have adequate testing time
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3. **Risk Communication**: Clearly communicate high-risk areas to stakeholders
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4. **Acceptance Criteria**: Include testing priority in story acceptance criteria
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### For Developer Agent
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1. **Development Focus**: Implement comprehensive error handling for P1 features
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2. **Code Quality**: Apply highest standards to P1 and P2 priority areas
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3. **Testing Integration**: Ensure automated tests are implemented for high-priority features
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4. **Documentation**: Provide detailed documentation for critical functionality
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### Priority Review Process
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**Weekly Reviews**: Assess if any features need priority level changes
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**Post-Incident**: Re-evaluate priority based on actual failure impact
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**Release Planning**: Adjust testing time allocation based on priority distribution
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**Metrics Analysis**: Use production data to validate priority assignments |