STRUCTURAL SOFTWARE TESTING: HYBRID ALGORITHM FOR OPTIMAL TEST SEQUENCE SELECTION DURING REGRESSION TESTING

Regression testing is one of the testing methods, which is done to assure that the changes made in fixes or other improvement changes does not affect the previously developed functionality of the software. Due to the reasons mentioned below, the regression testing posses a significant place in the software testing. Since it reduces the gaps of an application, modification has to be created and tested, test the new modifications to check that the modification did not change the any other part of the application, test coverage must be enhanced without conciliation of timelines. Thus, the test case generation and test case selection is the import role in the SUT (Software Under Test). More techniques are proposed to overcome these issues however those techniques could not be achieved complete code coverage with less time duration. In this paper proposed a hybrid algorithm which is used to resolve an optimal test case sequence selection as well as new test case generation for regression testing. The experimental results are shown our proposed approach is achieved better results rather than other approaches.