文章基本信息

标题：A Prioritization Approach for Regression Test Cases Based on a Revised Genetic Algorithm
本地全文：下载
作者：Thamer Alrawashdeh ; Fuad ElQirem ; Ahmad Althunibat 等
期刊名称：European Integration Studies
印刷版ISSN：2335-8831
出版年度：2021
卷号：50
期号：3
页码：443-457
DOI：10.5755/j01.itc.50.3.27662
语种：English
出版社：Kaunas University of Technology
摘要：The regression testing is a software-based testing approach executed to verify that changes made to the software do not affect the existing functionality of the product. On account of the constraints of time and cost, it is impractical to re-execute all the test cases for software whenever a change occurs. In order to overcome such a problem in the selection of regression test cases, a prioritization technique should be employed. On the basis of some predefined criterion, the prioritization techniques create an execution schedule for the test cases, so the higher priority test cases can be performed earlier than the lower priority test cases in order to improve the efficiency of the software testing. Many prioritization criteria for regression test cases have been proposed in software testing literature; however, most of such techniques are code-based. Keeping in view this fact, this research work has proposed a prioritization approach for regression test cases generated from software specifications which are based on the criterion of the Average Percentage Transition Coverage (APTC) by using a revised genetic algorithm. This criterion evaluates the rate of transitions coverage by incorporating knowledge about the significance of transitions between activates in the form of weights. APTC has been used as a fitness evaluation function in a genetic algorithm to measure the effectiveness of a test cases sequence. Moreover, in order to improve the coverage percentage, the proposed approach has revised the genetic algorithm by solving the problem of the optimal local solution. The experimental results show that the proposed approach demonstrates a good coverage performance with less execution time as compared to the standard genetic algorithm and some other prioritization techniques.
关键词：Regression testing;Test Cases Prioritization;Genetic Algorithm;Average Percentage Transition Coverage