9 minute read

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.

6. Performance Testing

  • 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.