ADR-0007: Testing Strategy¶
Status¶
PROPOSED
Date: 2025-07-05
Changelog¶
| Date | Revision | Description | Author |
|---|---|---|---|
| 2025-07-05 | 1.0 | Initial version | Loryth Team |
Context¶
The Loryth project has evolved into a multiservice distributed system with complex interactions. A comprehensive testing strategy is essential to:
- Ensure the correctness of individual components
- Verify service interactions and integration points
- Validate end-to-end user journeys
- Maintain performance under load
- Detect regressions early in the development process
- Provide confidence during continuous deployment
- Ensure contract compliance between services
Without a well-defined testing strategy, we risk quality issues, production failures, and reduced development velocity as the system grows more complex.
Decision¶
We will implement a multi-layered testing strategy with the following components:
-
Unit Testing:
- Comprehensive unit tests for all business logic
- Mocking of external dependencies
- Target coverage of 80%+ for core business logic
- Fast execution to enable frequent runs during development
-
Integration Testing:
- Tests for integration between components within a service
- Database integration tests with test-specific database instances
- Message broker integration using test containers
- API integration tests for each service
-
Contract Testing:
- Consumer-driven contract tests for service interfaces
- Schema validation for events and messages
- API contract tests to ensure backward compatibility
- Automated contract verification in CI pipeline
-
End-to-End Testing:
- Critical user journey tests across multiple services
- Realistic test environments with all services running
- Data setup and teardown automation
- Selective E2E testing focused on high-value flows
-
Performance Testing:
- Load testing for critical APIs and operations
- Performance benchmarks for key user journeys
- Stress testing to identify breaking points
- Regular performance regression testing
-
Security Testing:
- Automated security scanning for vulnerabilities
- Penetration testing for critical components
- Authentication and authorization specific tests
-
Test Automation and Infrastructure:
- CI/CD pipeline integration for all test levels
- Test environment automation with infrastructure as code
- Containerized test environments for consistency
- Comprehensive test reporting and analytics
Consequences¶
Positive¶
- Quality assurance: Comprehensive coverage across different test types
- Early detection: Issues found earlier in the development process
- Deployment confidence: Reduced risk during deployments
- Documentation: Tests serve as executable documentation
- Design feedback: Test-driven development improves design
- Regression prevention: Automated tests prevent regressions
Negative¶
- Development overhead: Significant effort required to maintain comprehensive tests
- Execution time: More extensive testing increases build times
- Environment complexity: Test environments for distributed systems are complex
- Flaky tests risk: E2E tests in particular can be prone to intermittent failures
Neutral¶
- Skill requirements: Team needs expertise in various testing approaches
- Tool diversity: Different test types require different tools and frameworks
- Maintenance commitment: Ongoing commitment needed to maintain test suite
Alternatives Considered¶
-
Manual Testing Focus
- Description: Rely primarily on manual testing with minimal automation
- Pros:
- Less upfront development time
- More exploratory testing possible
- No automated test maintenance overhead
- Cons:
- Not scalable as a system grows
- Slow feedback cycle
- High regression risk
- Inconsistent test coverage
- Why not chosen: Not sustainable for a complex distributed system
-
End-to-End Testing Only
- Description: Focus on E2E tests with minimal unit/integration tests
- Pros:
- Tests complete user journeys
- More realistic test scenarios
- Less mocking required
- Cons:
- Slow execution time
- Difficult to isolate failures
- Limited coverage of edge cases
- Brittle tests that break with any change
- Why not chosen: Too slow and inefficient for comprehensive testing
-
Third-Party Testing Service
- Description: Outsource a majority of testing to specialized testing service
- Pros:
- Reduced internal testing overhead
- Specialized expertise
- Independent quality assessment
- Cons:
- Reduced developer ownership of quality
- Knowledge gap between development and testing
- Potential communication overhead
- Why not chosen: Quality should be owned by the development team