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Test Plan

Overview​

This test plan outlines the testing strategy for the Learnille platform, ensuring quality, reliability, and user satisfaction.

Testing Objectives​

  • Validate functionality meets requirements
  • Ensure system stability and performance
  • Identify and prevent regressions
  • Maintain code quality standards

Testing Scope​

In Scope​

  • Unit tests for individual components
  • Integration tests for component interactions
  • End-to-end tests for user workflows
  • API testing for backend services
  • Performance testing for critical paths
  • Security testing for authentication and data protection

Out of Scope​

  • Third-party service testing
  • Mobile device compatibility (web-only)
  • Browser compatibility (Chrome, Firefox, Safari, Edge)

Testing Types​

1. Unit Testing​

  • Framework: Jest for JavaScript/TypeScript, pytest for Python
  • Coverage: Minimum 80% code coverage
  • Location: Tests in __tests__/ directories alongside source code

2. Integration Testing​

  • Framework: Jest with testcontainers for database integration
  • Focus: API endpoints, database operations, service interactions
  • Environment: Isolated test database

3. End-to-End Testing​

  • Framework: Playwright for web UI testing
  • Scenarios: Complete user journeys (registration, course creation, etc.)
  • Environment: Staging environment

4. Performance Testing​

  • Tools: k6 or Artillery
  • Metrics: Response time < 2s, concurrent users > 1000
  • Frequency: Before major releases

5. Security Testing​

  • Tools: OWASP ZAP, manual security reviews
  • Focus: Authentication, authorization, data validation
  • Frequency: Quarterly security audits

Test Environment​

Development Environment​

  • Local development setup
  • Unit and integration tests
  • Automated on every commit

Staging Environment​

  • Mirrors production setup
  • E2E and performance tests
  • Automated on pull requests to main

Production Environment​

  • Monitoring and smoke tests
  • Manual testing for critical features

Test Data Management​

  • Use realistic test data
  • Avoid production data in tests
  • Implement data cleanup after tests
  • Use factories for test data generation

Defect Management​

  • Report bugs using Bug Report Template
  • Track issues in GitHub Issues
  • Prioritize based on severity and impact
  • Retest fixes before closing

Test Automation​

  • CI/CD integration with GitHub Actions
  • Automated test execution on commits/PRs
  • Test reports generation
  • Failure notifications

Roles and Responsibilities​

  • Developers: Write unit tests, fix test failures
  • QA Engineers: Write integration/E2E tests, execute manual tests
  • DevOps: Maintain test infrastructure
  • Product: Define acceptance criteria

Schedule and Milestones​

  • Unit tests: Continuous
  • Integration tests: Daily
  • E2E tests: Before releases
  • Performance tests: Weekly
  • Security tests: Monthly

Success Criteria​

  • All critical path tests passing
  • Code coverage > 80%
  • Zero critical bugs in production
  • Test execution time < 10 minutes
  • Automated deployment confidence > 95%