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Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization

by Mandeep Kaur Bedi, Sheena Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 17
Year of Publication: 2013
Authors: Mandeep Kaur Bedi, Sheena Singh
10.5120/12062-8077

Mandeep Kaur Bedi, Sheena Singh . Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization. International Journal of Computer Applications. 69, 17 ( May 2013), 16-20. DOI=10.5120/12062-8077

@article{ 10.5120/12062-8077,
author = { Mandeep Kaur Bedi, Sheena Singh },
title = { Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 17 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number17/12062-8077/ },
doi = { 10.5120/12062-8077 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:31.010444+05:30
%A Mandeep Kaur Bedi
%A Sheena Singh
%T Fault Detection Techniques Prioritization using Bee Colony Optimization and then Comparison with Ant Colony Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 17
%P 16-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Research in software testing has experienced a significant growth in recent years. One topic of special interest is fault detection techniques to reduce human interference and detect maximum faults. Priority is given to these techniques so that only higher priority techniques should be used instead of using individual techniques of lower priority. Bee Colony Optimization based upon natural phenomena algorithm is used in it to find out the best results. The work presented in this paper expresses the idea of implementing of fault detection techniques to provide them priority using bee colony optimization and ant colony optimization and then compare their results with ant colony optimization. The results shows bee colony optimization is better than ant colony optimization and consume less time as compare to manual process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Bee Colony Optimization Ant Colony Optimization Fault Detection techniques

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