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Software Testing using Intelligent Technique

by Kevilienuo Kire, Neha Malhotra
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 19
Year of Publication: 2014
Authors: Kevilienuo Kire, Neha Malhotra
10.5120/15829-4637

Kevilienuo Kire, Neha Malhotra . Software Testing using Intelligent Technique. International Journal of Computer Applications. 90, 19 ( March 2014), 22-25. DOI=10.5120/15829-4637

@article{ 10.5120/15829-4637,
author = { Kevilienuo Kire, Neha Malhotra },
title = { Software Testing using Intelligent Technique },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 19 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 22-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number19/15829-4637/ },
doi = { 10.5120/15829-4637 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:11:28.921477+05:30
%A Kevilienuo Kire
%A Neha Malhotra
%T Software Testing using Intelligent Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 19
%P 22-25
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposed software testing system by using Artificial Intelligent techniques. In today's scenario, Software Testing is a critical issue in software development and maintenance for increasing the quality and reliability of the software. In Software Testing, regression testing is often performed and researchers are finding ways to reduce the regression testing cost. In this paper, an approach is proposed which draws inspiration from Swarm Intelligence to reduce test suite for regression testing. . This approach will strive to get the best optimal solution and contribute a lot in considerably reducing the testing cost, efforts and time of regression testing.

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Index Terms

Computer Science
Information Sciences

Keywords

Ant Colony Optimization Pheromone Swarm intelligence Genetic algorithms Simulated Annealing Algorithms Bee Colony Optimization Test Case Prioritization Test Case Selection.

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