Computer Science and Engineering, Department of


Date of this Version



University of Nebraska-Lincoln, Computer Science and Engineering
Technical Report # TR-UNL-CSE-2000-0005
Also presented in International Symposium of Software Testing and Analysis, 102-112, August 2000.


Test case prioritization techniques schedule test cases in an order that increases their effectiveness in meeting some performance goal. One performance goal, rate of fault detection, is a measure of how quickly faults are detected within the testing process; an improved rate of fault detection can pro- vide faster feedback on the system under test, and let soft- ware engineers begin locating and correcting faults earlier than might otherwise be possible. In previous work, we re- ported the results of studies that showed that prioritization techniques can significantly improve rate of fault detection. Those studies, however, raised several additional questions: (1) can prioritization techniques be effective when aimed at specific modified versions; (2) what tradeoffs exist between fine granularity and coarse granularity prioritization techniques; (3) can the incorporation of measures of fault proneness into prioritization techniques improve their effectiveness? This paper reports the results of new experiments addressing these questions.