Regression test selection for object oriented systems using OPDG and slicing technique

Regression testing is a selective retesting of software whenever software gets modified or some new functionality is added to it. In this paper a regression test case selection technique is proposed. This technique is based on identification of affected paths, affected functions and dynamic slicing which can be used to reduce the number of test cases for regression testing. This paper considers all three cases of modification to object oriented programs. The proposed approach is evaluated by showing the reduction in total number of test cases to be selected. For each program to be tested, this approach focuses on finding the affected paths, affected functions and on computing the dynamic slice of modified variables. In addition this approach is also open to combine a variety of available information for selection of test cases. For analysis it is applied to the software module in C++.