Regression Test Selection and Prioritization Using Variables: Analysis and Experimentation

reducing test suite size without compromising the suite’s effectiveness in performing regression testing. This article presents a hybrid technique using the variable-based method that combines both selection and prioritization. It considers source code changes and coverage information with respect to each test case. Variables are the vital source of changes in the program, and this method captures the effect of changes in terms of variable computations. The proposed hybrid approach for test case selection and prioritization has been compared with the test selection technique described by Rothermel (1996). Statement coverage, branch coverage, fault coverage, and modified code coverage are computed. The results present interesting insights into the effectiveness of using the technique for selection and prioritization during regression testing.