In one project, we faced a critical bug that caused the application to crash intermittently. After thorough investigation, I discovered the issue was due to a race condition in the code. I implemented a systematic approach to reproduce the bug consistently and worked closely with the development team to refactor the code and add synchronization mechanisms. This not only resolved the crash but also improved the overall stability of the application.

I prioritize testing tasks based on risk assessment and business impact. I start with high-risk areas, such as critical functionalities and recent code changes, to ensure the most significant issues are addressed first. I also collaborate with the project manager to align testing efforts with project milestones and adjust priorities as needed to meet deadlines without compromising quality.

To ensure comprehensive test coverage, I use a combination of manual and automated testing. I start by creating detailed test plans that cover all functional and non-functional requirements. I then use tools like Selenium and JUnit to automate repetitive tests and integrate them into the CI/CD pipeline. Additionally, I perform exploratory testing to uncover edge cases and unexpected behaviors that automated tests might miss.

Effective communication is key when reporting bugs. I provide clear and concise bug reports with detailed steps to reproduce the issue, expected and actual results, and any relevant logs or screenshots. I also prioritize the severity and impact of the bug to help the development team understand its importance. During discussions, I remain open to feedback and collaborate to find the best solution, ensuring that the reported issue is fully understood and addressed.

I have extensive experience with CI/CD pipelines, having worked with tools like Jenkins, GitLab CI, and CircleCI. I integrate automated tests into the pipeline to run on every code commit, ensuring that issues are caught early in the development cycle. I also monitor the pipeline for failures and work with the team to resolve them promptly. This approach helps maintain a high level of code quality and reduces the risk of regressions in production.