Unit testing is a critical part of software development, ensuring code reliability and maintainability. Here are key strategies for advanced unit testing:

🔍 Key Concepts

  • Test Isolation: Each test should run independently. Use mocking libraries like unittest.mock to simulate dependencies.
  • Test Coverage: Aim for comprehensive coverage. Tools like coverage.py can help identify untested code.
  • Parameterized Tests: Test multiple inputs with a single test case. Frameworks such as pytest support this feature.

📚 Best Practices

  • Write assertions that check for specific outcomes
  • Use fixtures to manage test setup and teardown
  • Implement test doubles (mocks, stubs, spies) for external systems
  • Keep tests fast and focused

📌 Resources

Unit_Testing_Framework

For visual learners, check out this diagram of the testing lifecycle:
Testing_Lifecycle_Diagram