Documentation Index
Fetch the complete documentation index at: https://docs.moodmnky.com/llms.txt
Use this file to discover all available pages before exploring further.
Testing Strategy
This document outlines our testing approach for ensuring the quality, reliability, and performance of the MOOD MNKY platform.Testing Principles
Our testing strategy is built on these core principles:- Shift Left: Test early and often throughout the development lifecycle
- Automation First: Automate tests wherever possible for consistency and efficiency
- Risk-Based: Focus testing efforts on high-impact and high-risk areas
- Full Coverage: Test at all levels from unit to end-to-end
- Consumer-Driven: Base test cases on actual user journeys and requirements
Testing Pyramid
We follow the testing pyramid approach to balance testing types:- Many Unit Tests: Fast, focused, testing individual functions and components
- Some Integration Tests: Testing interactions between components
- Few E2E Tests: Testing complete user flows and critical paths
Test Types
- Unit Tests
- Integration Tests
- E2E Tests
Purpose: Verify individual functions, methods, and components work correctly in isolationTools:
- Frontend: Jest, Vue Test Utils, React Testing Library
- Backend: Jest, Mocha, pytest
- Focus on testing logic, not implementation details
- Use mocks for external dependencies
- Aim for high code coverage (>80%)
- Keep tests fast and isolated
Specialized Testing
API Testing
API Testing
Approach: Comprehensive testing of API endpoints for functionality, reliability, and securityTools:
- Postman collections for manual testing
- Supertest for automated API tests
- OpenAPI validation for contract testing
- Positive and negative test cases
- Authentication and authorization
- Rate limiting and throttling
- Error handling and status codes
- Request validation
- Response schema validation
Performance Testing
Performance Testing
Approach: Regular testing to ensure the system meets performance requirements under various conditionsTools:
- K6 for load testing
- Lighthouse for frontend performance
- New Relic for monitoring and profiling
- Load testing (normal operating conditions)
- Stress testing (beyond normal capacity)
- Soak testing (extended duration)
- Spike testing (sudden increase in load)
- Response time (average, 95th percentile)
- Throughput (requests per second)
- Error rate
- Resource utilization (CPU, memory, network)
- Time to First Byte (TTFB)
- Core Web Vitals (LCP, FID, CLS)
Security Testing
Security Testing
Approach: Regular security testing to identify and address vulnerabilitiesTools:
- OWASP ZAP for automated scanning
- SonarQube for code analysis
- npm audit / Snyk for dependency scanning
- Static Application Security Testing (SAST)
- Dynamic Application Security Testing (DAST)
- Dependency scanning
- Penetration testing (quarterly)
- Authentication and authorization
- Data protection and privacy
- Input validation and sanitization
- Session management
- API security
- Dependency vulnerabilities
Accessibility Testing
Accessibility Testing
Approach: Ensure applications are accessible to all users, including those with disabilitiesTools:
- Axe for automated accessibility testing
- WAVE for visual accessibility testing
- Lighthouse for accessibility audits
- WCAG 2.1 AA compliance
- Automated testing (integrated in CI/CD)
- Manual testing with screen readers
- Keyboard navigation testing
- Color contrast verification
Testing in CI/CD
Continuous Integration
All code changes trigger automated tests through GitHub Actions:
- Linting and static analysis
- Unit tests
- Integration tests
- Code coverage reporting
- Performance budget verification
Pre-deployment Testing
Before deployment to staging:
- API contract tests
- Database migration tests
- Security scans
- Performance tests (basic)
Staging Environment
After deployment to staging:
- Automated E2E tests
- Smoke tests
- Manual exploratory testing
- User acceptance testing
Test Data Management
Test Data Strategy
Approaches:
- Test fixtures: Small, purpose-built datasets for unit tests
- Factories: Dynamic test data generation using tools like Faker
- Anonymized production data: For realistic integration testing
- Seeded databases: Consistent starting point for all tests
- Isolate test data between test runs
- Reset state before each test
- Use realistic but anonymized data
- Avoid dependencies between tests
- Store test data separately from test logic
Testing Standards
Testing Responsibilities
Developers
- Write and maintain unit tests
- Write integration tests for services
- Run tests locally before pushing code
- Fix failing tests in CI
- Follow test-driven development when appropriate
QA Engineers
- Develop and execute test plans
- Write and maintain E2E tests
- Perform exploratory testing
- Create performance test scenarios
- Verify accessibility compliance
DevOps
- Maintain test infrastructure
- Ensure test reliability in CI/CD
- Monitor test metrics and trends
- Optimize test execution time
- Setup production monitoring
Test Documentation
Maintain comprehensive test documentation:- Test Plans: Document test objectives, scope, approach, and resources
- Test Cases: Detailed steps, expected results, and prerequisites
- Test Reports: Results, defects found, and coverage metrics
- Test Strategy: Overall testing approach and standards (this document)
Conclusion
Our testing strategy is designed to ensure high-quality software releases while balancing thoroughness with efficiency. By following these guidelines, we aim to deliver a robust, reliable platform that meets our users’ needs and expectations.This document should be reviewed and updated quarterly to incorporate new testing techniques, tools, and changing project requirements.