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Reseach Article

Survey on Automated Test Data Generation

by Manpreet Kaur Brar, Sushil Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 15
Year of Publication: 2014
Authors: Manpreet Kaur Brar, Sushil Garg
10.5120/18984-9353

Manpreet Kaur Brar, Sushil Garg . Survey on Automated Test Data Generation. International Journal of Computer Applications. 108, 15 ( December 2014), 1-4. DOI=10.5120/18984-9353

@article{ 10.5120/18984-9353,
author = { Manpreet Kaur Brar, Sushil Garg },
title = { Survey on Automated Test Data Generation },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 15 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number15/18984-9353/ },
doi = { 10.5120/18984-9353 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:43:02.082050+05:30
%A Manpreet Kaur Brar
%A Sushil Garg
%T Survey on Automated Test Data Generation
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 15
%P 1-4
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Testing is the process to check the program with the aim to detect errors. Software testing is an expensive and challenging process, typically consuming at least 50% of the total development cost and 35% of total development time. The critical step of software testing is automated test data generation. Automated test data generation scheme generate optimum set of test data automatically on the basis of test data adequacy criteria. The goal of this contribution is to summarize the major techniques in recognizing the automated test data generation. The main objective of this paper is to look into the current research in the automated test data generation, various metaheuristics techniques (ACO, PSO, GA, SA etc. ) and hybridization of these metaheuristics techniques (ACSGA , GAPSO etc. ) all these topics have been discussed so far to mitigate the errors in the software.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software testing Automated Test Data Generation ACO PSO GA Hybrid Algorithm.