Regression test cases prioritization for object-oriented programs using genetic Algorithm with reduced value of fault severity

摘要

One of the most important activities in software maintenance is Regression testing. The re-execution of all test cases during the regression testing is costly. Several of the researchers address the issue of test case prioritization using genetic algorithm, but most of the researcher do not select modification-revealing before prioritization and used the same fault severity. This stusy presents regression test case prioritization of selected test cases for object-oriented software using genetic algorithm with reduced fault severities when a fault is executed by the preceding test cases. The experimental evaluation of our proposed approach was done using nine programs. The researcher measure the performances of their prioritization approaches using Average Percentage of rate of Faults Detection (APFD) metric. It was observed from the results that the approach increases the effectiveness of regression testing in term of rate of fault detection. It was concluded that prioritization of modification-revealing test cases based reduced fault severity to compute fitness value to a smaller value provides considerably better results.