Prevalent criteria´s in regression test case selection techniques: An exploratory study

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. Note worthy difficulty in regression testing is selection of significant subgroup of test cases. This paper has analyzed techniques of regression test selection (RTS) for test case optimization in various domains. The study identified most prevalent criteria´s used by various researchers. This study analyzed two broad groups of techniques under which test cases are optimized i.e. code-based and requirement-based techniques. Further most prevalent criteria´s were identified and techniques were grouped under them. The study is also focused on the level of test granularity used by different researchers. Two main granularity levels were identified for code based testing i.e. fine granularity and coarse granularity. From this study it is also concluded that no such technique could be generalized because they are proposed for different domains of interest.