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Optimization of Software Testing for Discrete Testsuite using Genetic Algorithm and Sampling Technique

by Siba Prasada Tripathy, Devanand Kanhar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 63 - Number 7
Year of Publication: 2013
Authors: Siba Prasada Tripathy, Devanand Kanhar
10.5120/10475-5207

Siba Prasada Tripathy, Devanand Kanhar . Optimization of Software Testing for Discrete Testsuite using Genetic Algorithm and Sampling Technique. International Journal of Computer Applications. 63, 7 ( February 2013), 1-5. DOI=10.5120/10475-5207

@article{ 10.5120/10475-5207,
author = { Siba Prasada Tripathy, Devanand Kanhar },
title = { Optimization of Software Testing for Discrete Testsuite using Genetic Algorithm and Sampling Technique },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 63 },
number = { 7 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume63/number7/10475-5207/ },
doi = { 10.5120/10475-5207 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:13:30.197718+05:30
%A Siba Prasada Tripathy
%A Devanand Kanhar
%T Optimization of Software Testing for Discrete Testsuite using Genetic Algorithm and Sampling Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 63
%N 7
%P 1-5
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Though Software Testing plays a vital role to produce better quality products, but it is time consuming and incurs expenditure. The more test will be conducted, products will be finer. Hence, testing is must for software development. Another side of testing is spending much money on it because people will work rigorously to generate the test suite and executing it. As we know that, no software is bug free software; we cannot assure that the testing which has been done for particular software is sufficient. To get a cost effective testing strategy, one should go for optimization of testsuite. This paper uses heuristic algorithm with sampling techniques used to optimize the test suite. Genetic algorithm may play a major role to have a sound weight on optimization of testsuite. If we go for sampling techniques then it usually gives more optimum result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Genetic Algorithm selection crossover mutation sampling

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