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Shift left – Sync Test code with App code

Dear Readers,

We have all heard about Shift left. Let us see how to actually implement it by syncing test code with app code using Git flow. To sync test code with app code using Git flow while maintaining code quality, follow these steps:

1. Use Branches: Adopt a branching strategy such as Git flow. Create separate branches for feature development, including both app code and test code.

2. Pairing Branches: Ensure that for each feature branch containing app code, there is a corresponding branch for test code. This helps in keeping the changes related to app code and test code separate.

3. Commit Frequently: Encourage frequent commits with descriptive messages for both app code and test code changes. This helps in tracking changes effectively and provides context for code reviews.

4. Automated Testing: Integrate automated testing into your workflow. Run unit tests, integration tests, and any other relevant tests automatically upon each commit or pull request.

5. Code Reviews: Perform code reviews for both app code and test code changes. This ensures that code quality standards are maintained and any issues are identified early.

6. Continuous Integration (CI): Utilize CI tools to automatically build and test your code whenever changes are pushed to the repository. This helps in catching integration issues and ensures that both app code and test code are in sync.

7. Version Control: Ensure that test code is versioned along with app code. This helps in keeping track of changes made to both codebases over time.

8. Documentation: Document any specific guidelines or conventions for writing test code to ensure consistency and maintainability.

By following these practices, you can effectively sync test code with app code using Git flow while maintaining code quality throughout the development process.

To access a free Git enabled Web ide to develop your test code for a one month trial , please sign up at

Test Automation

Checklist for Test automation in a DevOps environment

Test automation is a crucial part of the DevOps process to ensure that software is tested thoroughly and consistently throughout its development lifecycle. Below is a checklist for test automation in a DevOps environment:

Test Strategy and Planning:

  • Define the scope and objectives of test automation.
  • Identify the types of tests to be automated (e.g., unit tests, integration tests, functional tests, etc.).
  • Determine the tools and frameworks to be used for automation.
  • Plan for test data and environment setup.

Version Control:

  • Ensure that the test automation code is stored in version control.
  • Implement branching and merging strategies for test code management.

Continuous Integration (CI) Integration:

  • Integrate test automation into the CI pipeline to trigger tests automatically with each code commit.
  • Ensure that automated tests run on multiple environments to catch potential issues early.

Test Environment Management:

  • Create and manage test environments that mimic production environments as closely as possible.
  • Ensure test data is isolated and consistent for reliable test execution.

Test Data Management:

  • Plan and create test data to cover different scenarios and edge cases.
  • Automate the setup and teardown of test data to keep tests independent and repeatable.

Test Design and Scripting:

  • Design test cases that cover functional and non-functional requirements.
  • Use a suitable testing framework to write automated test scripts.

Test Execution and Reporting:

  • Automate the execution of test suites and test scenarios.
  • Generate detailed test reports with clear status and defect information.

Error Handling and Logging:

  • Implement robust error handling mechanisms in test scripts.
  • Include proper logging to facilitate debugging when test failures occur.

Test Maintenance:

  • Regularly review and update automated test scripts to reflect changes in the application.
  • Retire obsolete tests and replace or update them with relevant new tests.

Test Monitoring and Alerting:

  • Set up monitoring and alerting for test results.
  • Receive notifications when tests fail, and investigate and resolve issues promptly.

Test Coverage Analysis:

  • Analyze test coverage to ensure critical functionality is adequately tested.
  • Identify gaps in test coverage and add missing tests as necessary.

Performance Testing:

  • Integrate performance tests into the automation suite to identify performance bottlenecks.
  • Run performance tests regularly to detect performance regressions.

Security Testing:

  • Automate security tests to identify potential vulnerabilities in the application.
  • Integrate security testing into the CI/CD pipeline to ensure continuous security checks.

Integration and API Testing:

  • Automate integration and API tests to verify data flow and communication between different components.

Cross-Browser and Cross-Platform Testing:

  • Include automated tests for different browsers and platforms to ensure compatibility.

Accessibility Testing:

  • Automate accessibility tests to ensure the application is usable by people with disabilities.

Load and Stress Testing:

  • Automate load and stress tests to evaluate the application’s behavior under heavy loads.

Usability Testing:

  • Automate usability tests to assess the overall user experience of the application.

Test Retrospective:

  • Regularly review the test automation process to identify areas for improvement.


  • Maintain up-to-date documentation for the automated tests, including test cases and test data.

Remember that test automation is an ongoing process, and it’s essential to continuously enhance and optimize the automation strategy based on feedback and changing project requirements.

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