earticle

영어

Regression testing is an activity during the maintenance phase to validate the changes made to the software and to ensure that these changes would not affect the previously verified code or functionality. Often, regression testing is performed with limited computing resources and time budget. So, fully comprehensive testing is not possible at this stage. Test-case prioritization techniques are applied to ensure the execution of test cases in some prioritized order and to achieve some specific goals in minimum possible time like, increasing the rate of fault detection, detecting the most critical faults as early as possible etc. The main objective of this paper is to achieve higher value of average percentage of faults detected, execute the higher priority test cases before lower priority test cases and also we target to decrease the execution time for achieving the maximum value of average percentage of faults detected. We proposed a new prioritization technique that uses a clustering approach and also considers various factors like, execution time of every test case, code coverage metric, fault detection ratio, test case failure rate and code complexity metric to reorder the execution of test cases. The results of this research work will show the importance of clustering technique and various factors taken into consideration, for achieving effective prioritization of test cases. The results of implementation will subsequently show that the proposed approach is more effective than the existing coverage and clustering based prioritization techniques. From the experimental results, we found that our proposed approach achieved higher value of average percentage of faults detected than other clustering based and coverage based techniques. Also, this approach reduces the execution time taken by the prioritized test cases.