Samaila  Musa, Abu Bakar Md  Sultan, Abdul Azim Bin  Abd-Ghani, Salmi  Baharom, 
    Regression Test Cases Prioritization for Object-Oriented Programs
Using Genetic Algorithm with Reduced Value of Fault Severity,
    International Journal of Soft Computing,
    Volume 11,Issue 4,
    2016,
    Pages 247-254,
    ISSN 1816-9503,
    ijscomp.2016.247.254,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2016.247.254)
    Abstract: 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.
    Keywords: Regression testing;genetic algorithm;test case prioritization;APFD;severity