Smoke testing
In the preliminary testing phase, software undergoes smoke testing to swiftly assess basic functionality and ensure key features are operational, providing a snapshot of its stability. This process swiftly identifies major issues, prioritizing critical paths within the application, ensuring essential workflows crucial for its primary purpose are functional.
Smoke testing's swift execution allows a rapid assessment of basic functionality without exhaustive testing scenarios, establishing a stable foundation for subsequent testing efforts. Early detection of major issues prevents resource wastage on in-depth testing when fundamental functionalities are compromised, contributing to time and resource efficiency.
Successful completion of smoke testing sets a reliable foundation for subsequent testing phases, ensuring comprehensive testing efforts are built upon a stable application base. Seamlessly integrating into the development workflow, smoke testing serves as an effective checkpoint before the software undergoes more detailed testing phases.
Swiftly assessing software stability for a solid testing foundation.
Regression testing
We test both the modified parts of the code and those that may be affected by the changes to ensure that modifications to code do not introduce new errors into the software. When new features are added to the system, modifications are necessary to integrate them with the existing code. Similarly, when defects are identified and fixed, regression testing is performed to ensure that the code still works as expected.
The process of regression testing involves several steps. First, we test the changes made to the source code, which may cause failures in the existing test suite. Then, we identify and fix bugs through debugging. The proper function of modified and affected code segments is then thoroughly tested using relevant test cases from the test suite. If necessary, we may add additional test cases.
There are different methods to select test cases, such as selecting all test cases, random selection, modification traversing, and prioritizing higher priority test cases based on factors such as bug detection capability and your customer requirements.
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