Manual Testing Course in Surat

Root cause analysis identifies the origin of a defect. It helps prevent future occurrences by addressing the underlying issue rather than just the symptom.

RTM maps test cases to requirements to ensure full coverage. It confirms that all requirements are tested and helps identify missing or redundant tests.

Defect density measures the number of defects found in a given size of software, such as per 1,000 lines of code. It helps assess software quality.

Testing identifies the presence of defects, while debugging is the process of finding, analyzing, and fixing those defects in the code.

Configuration testing checks the application's behavior on different software and hardware configurations. It ensures compatibility across environments.

Recovery testing checks how well the application recovers from crashes, hardware failures, or other disruptions. It’s crucial for reliability.

This ensures that the application installs and uninstalls properly without leaving behind residual files or causing errors.

Failover testing checks how the system handles unexpected failures, such as server crashes or loss of network. It ensures system reliability and backup readiness.

End-to-end testing validates the entire application flow from start to finish, simulating real user scenarios. It ensures all integrated components work together correctly.

I use tools like Postman to send requests and analyze responses. I manually verify status codes, response times, data formats, and error messages against the API documentation to ensure correct behavior.

Static testing involves reviewing documents and code without executing the program, while dynamic testing requires running the application and validating outputs. Both are important for early detection and verification of defects.

A test baseline is a fixed reference point in the development lifecycle, such as approved test plans or test cases. It ensures consistency, allows comparison, and helps in tracking changes across different builds.

The defect lifecycle represents the journey of a defect from identification to closure. It includes statuses like New, Assigned, In Progress, Resolved, Reopen, and Closed. Tracking lifecycle stages ensures timely bug resolution and transparency.

A blocker bug is a critical issue that prevents further testing or application usage. It may crash the system or stop essential functionality, making it impossible to proceed until the issue is resolved.

A checklist is a high-level list of items or steps to verify, used for quick validation. A test case is more detailed, with step-by-step procedures, expected results, and preconditions. Both are useful depending on the testing need.

In agile, I align tests with user stories, write tests during sprint planning, and perform continuous testing. I use exploratory testing for rapid feedback and maintain lean, adaptable test documentation.

System testing validates the complete integrated system against requirements. It involves end-to-end scenarios, UI checks, data validation, and functional flow testing to ensure the product meets expected standards before release.

Retesting ensures that previously identified defects are correctly fixed without introducing new issues. It involves executing the same test cases after a bug fix to verify the issue no longer exists in the application.