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Optimization of Test Case Generation using Genetic Algorithm (GA)

by Ahmed Mateen, Marriam Nazir, Salman Afsar Awan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 151 - Number 7
Year of Publication: 2016
Authors: Ahmed Mateen, Marriam Nazir, Salman Afsar Awan
10.5120/ijca2016911703

Ahmed Mateen, Marriam Nazir, Salman Afsar Awan . Optimization of Test Case Generation using Genetic Algorithm (GA). International Journal of Computer Applications. 151, 7 ( Oct 2016), 6-14. DOI=10.5120/ijca2016911703

@article{ 10.5120/ijca2016911703,
author = { Ahmed Mateen, Marriam Nazir, Salman Afsar Awan },
title = { Optimization of Test Case Generation using Genetic Algorithm (GA) },
journal = { International Journal of Computer Applications },
issue_date = { Oct 2016 },
volume = { 151 },
number = { 7 },
month = { Oct },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume151/number7/26243-2016911703/ },
doi = { 10.5120/ijca2016911703 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:56:27.136859+05:30
%A Ahmed Mateen
%A Marriam Nazir
%A Salman Afsar Awan
%T Optimization of Test Case Generation using Genetic Algorithm (GA)
%J International Journal of Computer Applications
%@ 0975-8887
%V 151
%N 7
%P 6-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Testing provides means pertaining to assuring software performance. The total aim of software industry is actually to make a certain start associated with high quality software for the end user. However, associated with software testing has quite a few underlying concerns, which are very important and need to pay attention on these issues. These issues are effectively generating, prioritization of test cases, etc. These issues can be overcome by paying attention and focus. Solitary of the greatest Problems in the software testing area is usually how to acquire a great proper set associated with cases to confirm software. Some other strategies and also methodologies are proposed pertaining to shipping care of most of these issues. Genetic Algorithm (GA) belongs to evolutionary algorithms. Evolutionary algorithms have a significant role in the automatic test generation and many researchers are focusing on it. In this study explored software testing related issues by using the GA approach. In addition to right after applying some analysis, better solution produced, that is feasible and reliable. The particular research presents the implementation of GAs because of its generation of optimized test cases. Along these lines, this paper gives proficient system for the optimization of test case generation using genetic algorithm.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Optimization Genetic Algorithm Test case Generation Design Testing.

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