Test case prioritization using online fault detection information

The rapid evolution of software necessitates effective fault detection within increasingly restricted execution times. To improve the effectiveness of the regression testing required for extensive fault detection, test cases have to be prioritized. The test cases with the higher chance of capturing faults are executed earlier in the series. This prioritization enables faster feedback for fixing more faults earlier. Various prioritization techniques have been proposed based on the information provided by offline (static) test execution history on previous versions of the software. In this paper, we propose a family of new test case prioritization techniques, which utilize online (dynamic) information about the locations of previously revealed faults in the detection of other faults. Our empirical studies demonstrate that the new techniques are more effective than the existing traditional test case prioritization techniques.