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Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization

by Rajanroop Walia, Harpreet K. Bajaj
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 155 - Number 8
Year of Publication: 2016
Authors: Rajanroop Walia, Harpreet K. Bajaj
10.5120/ijca2016912403

Rajanroop Walia, Harpreet K. Bajaj . Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization. International Journal of Computer Applications. 155, 8 ( Dec 2016), 41-45. DOI=10.5120/ijca2016912403

@article{ 10.5120/ijca2016912403,
author = { Rajanroop Walia, Harpreet K. Bajaj },
title = { Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 155 },
number = { 8 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 41-45 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume155/number8/26629-2016912403/ },
doi = { 10.5120/ijca2016912403 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:00:46.318884+05:30
%A Rajanroop Walia
%A Harpreet K. Bajaj
%T Performance Analysis of Hybrid Approach Comprising Genetic Algorithm and Adaptive Approach on Test Case Prioritization
%J International Journal of Computer Applications
%@ 0975-8887
%V 155
%N 8
%P 41-45
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Regression testing is an important domain of software testing, which attempts to verify all the fixes that had been introduced into the software throughout its development period by means of test suites. In spite of being exorbitant in terms of time and cost, it cannot be evaded. As a result, lot many techniques have been proposed in the past in order to minimize these expenses. One such technique is Test Case Prioritization, which works by scheduling the execution order of test cases with a goal of improving the fault detection rate. This paper introduces a hybrid approach to test case prioritization, by combining Genetic Algorithm and Adaptive approach. Initially, it applies the Adaptive approach for the prioritization of test cases. Further, the left over test cases are prioritized by applying the Genetic Algorithm. Finally, the outcomes obtained from the proposed approach are compared with those of Genetic Algorithm based on two parameters: execution time and average percentage of statement coverage (APSC) values. The evaluation results prove that the proposed approach performs better in terms of both the parameters.

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Index Terms

Computer Science
Information Sciences

Keywords

Regression testing test case prioritization genetic algorithms adaptive approach

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