International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
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The Effects of Replacement Strategies of Genetic Algorithm in Regression Test Case Prioritizatoin of Selected Test Cases
Samaila Musa, Abu Bakar Md Sultan, Abdul Azim Bin Abd Ghani and Salmi Baharom
Page: 359-368 | Received 21 Sep 2022, Published online: 21 Sep 2022
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Abstract
Regression testing is one of the software maintenance activities that is time consuming and expensive. Design-based regression testing approaches have been proposed to address changes at higher levels of abstraction, these approaches may not detect changes in the method body and several of the code based addresses procedural programs. This study presents an optimized regression test case prioritization of selected test cases for object-oriented software using Genetic algorithm with different replacement strategies. The goal is to compare different replacement strategies of GA and select the best strategy that will make prioritization to order selected test cases based on their fitness. We provide case studies to demonstrate the differences between the strategies. We measured the performances of each replacement strategy in GA by using Average Percentage of rate of Faults Detection (APFD) metric. It was observed from the results that replacement of worst individual and replacing the parent increased the effectiveness of regression testing compared with two other replacement strategies in term of rate of fault detection.
How to cite this article:
Samaila Musa, Abu Bakar Md Sultan, Abdul Azim Bin Abd Ghani and Salmi Baharom. The Effects of Replacement Strategies of Genetic Algorithm in Regression Test Case Prioritizatoin of Selected Test Cases.
DOI: https://doi.org/10.36478/ijscomp.2015.359.368
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2015.359.368