1. Preparation
- Understand API specifications, including endpoints, request methods, request/response formats, headers, params, response schema, authentication methods, and configuration flags.
- Develop a test plan outlining scope, description, actions, data, expected results.
- Set up testing environments, mirroring production as closely as possible.
- Prepare test data for positive and negative scenarios, including mock data for databases or caches.
2. Basic Testing
- Verify that all API endpoints are accessible and respond correctly.
- Test all HTTP methods (GET, POST, PUT, DELETE, etc.) for each endpoint.
- Test different combinations of query parameters, headers, and body data.
3. Functional Testing
- Perform positive testing with valid inputs.
- Conduct negative testing with invalid inputs, missing parameters, and incorrect data types.
- Check boundary values and edge cases (e.g., minimum and maximum input sizes).
- Verify data integrity, ensuring accuracy and correct format.
- Test CRUD operations for APIs interacting with a database.
4. Configuration Flag Testing
- Verify that all configuration flags are recognized and processed correctly.
- Test different combinations of configuration flags.
- Ensure the API behaves correctly with default settings when flags are not set.
- Test the API’s response to changes in configuration flags during runtime, if supported.
5. Security Testing
- Verify authentication mechanisms (e.g., OAuth, API keys) and test for unauthorized access.
- Ensure only authorized users can access certain endpoints or perform specific actions.
- Confirm sensitive data is encrypted in transit using HTTPS.
- Test for SQL injection, XML injection, and other injection attacks.
- Check if the API enforces rate limiting to prevent abuse.
- Ensure input data is validated to prevent attacks such as cross-site scripting (XSS).
Cross-site scripting (XSS) is an exploit where the attacker attaches code onto a legitimate website that will execute when the victim loads the website.
- Conduct load testing to assess performance under normal and peak conditions.
- Perform stress testing to determine the API’s breaking point.
- Evaluate how the API scales with increasing users or data volume.
- Measure response times for various endpoints.
7. Use of Mock Data in DB or Cache
- Set up mock data in databases or caches to simulate real scenarios.
- Ensure mock data remains consistent throughout testing and resets between test runs.
8. Usability Testing
- Verify that API documentation is complete, accurate, and easy to understand.
- Ensure error messages are clear, informative, and helpful for troubleshooting.
9. API Versioning
- Test different versions of the API to ensure backward compatibility.
- Verify that deprecated endpoints and features are properly handled and provide adequate warnings.
- Ensure version-specific changes and features are correctly implemented and documented.
10. Regression Testing
- Implement automated tests to quickly identify regressions.
- Test the API across different versions to ensure backward compatibility. [SDK Testing]
12. Post-Testing
- Log defects or issues found during testing in a defect tracking system.
- Prepare a summary report of test results, including test coverage, defects found, and their status.
- Review test results with stakeholders and retest any defects after they have been fixed.