Identification of Attributes for Test Case Reusability in Regression Test Selection Techniques

Regression testing is done after needful changes, ensuring that changes are working as required and does not produce unexpected results for a system under test. Regression testing encounters a significant difficulty of determining the relevant subgroup of test cases for reusability in regression test case selection. This paper performs an exploratory study of Regression Test Selection (RTS) techniques to identify the attributes of test cases for reusability. As the result of this study, the techniques have been categorized under two broad groups' i.e. code-based techniques and requirement based techniques. Further, the attributes for reusability of test cases are identified for code based and requirement based techniques. The study also center around the levels of test granularity for code based techniques used in regression test case selection i.e. fine granularity and coarse granularity. The study revealed that there exists a trade-off between the cost and level of granularity for test case effectiveness.