Implementing automated testing within CI/CD pipelines has been a crucial aspect of my work to enhance code quality. Here’s my approach:

I utilized GitLab and GitHub for version control, employing well-defined branching strategies to manage development, staging, and production environments. For continuous integration, I integrated Jenkins, establishing pipelines that automatically build and test code whenever changes are pushed to the repository. Jenkins was configured to run a suite of automated tests, including unit tests, integration tests, and UI tests.

I implemented unit tests using JUnit and Mockito to ensure that individual components function correctly. Additionally, I employed integration tests to verify that different parts of the application work together as expected. For end-to-end UI testing, I leveraged Espresso to automate user interactions and ensure the UI behaves correctly.

I set up instrumentation tests to run on real devices or emulators, providing a more comprehensive testing environment. Tools like Android Studio Profiler were used to monitor performance during these tests.

To analyze code quality, I integrated SonarQube, which generated reports on code coverage, vulnerabilities, and code smells. I ensured that code coverage thresholds were met before merging changes into the main branch.

I configured Jenkins to generate detailed test reports and notifications, alerting the team to any failed tests or build issues. Tools like Test Report and SonarQube provided valuable feedback on code quality and areas for improvement.

I fostered a culture of continuous feedback and improvement, using automated test results to identify and resolve issues early in the development cycle. I regularly reviewed and updated test cases to cover new features and edge cases.

By implementing this robust CI/CD pipeline with automated testing, I ensured high code quality and quick identification and resolution of issues, resulting in a more stable and reliable application.