An empirical study of test case filtering techniques based on exercising information flows
Some software defects trigger failures only when certain local or nonlocal program interactions occur. Such interactions are modeled by the closely related concepts of information flows, program dependences, and program slices. The latter concepts underlie a 78variety of proposed test data adequacy criteria, and they form a potentially important basis for filtering existing test cases. We report the results of an empirical study of several test case filtering techniques that are based on exercising information flows. Both coverage-based and profile-distribution-based filtering techniques are considered. They are compared to filtering techniques based on exercising simpler program elements, such as basic blocks, branches, function calls, and call pairs, with respect to their effectiveness for revealing defects.
empirical studies test case filtering information flow dynamic slicing test suite minimization coverage-based filtering distribution-based-filtering software testing