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Extended ACO Algorithm for Path Prioritization

by Saurabh Srivastava, Himanshi Raperia, Jastej Badwal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 1
Year of Publication: 2013
Authors: Saurabh Srivastava, Himanshi Raperia, Jastej Badwal
10.5120/11359-6582

Saurabh Srivastava, Himanshi Raperia, Jastej Badwal . Extended ACO Algorithm for Path Prioritization. International Journal of Computer Applications. 67, 1 ( April 2013), 17-21. DOI=10.5120/11359-6582

@article{ 10.5120/11359-6582,
author = { Saurabh Srivastava, Himanshi Raperia, Jastej Badwal },
title = { Extended ACO Algorithm for Path Prioritization },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 1 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 17-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number1/11359-6582/ },
doi = { 10.5120/11359-6582 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:31.227058+05:30
%A Saurabh Srivastava
%A Himanshi Raperia
%A Jastej Badwal
%T Extended ACO Algorithm for Path Prioritization
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 1
%P 17-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Software testing is one major part of software development life cycle (SDLC) and thus tester need to have good testing algorithms in order to test the software correctly and efficiently. Ant colony optimization technique is a meta-heuristic technique which was first proposed by Dr. Marco Dorigo in his PhD thesis in 1992. He proposed a technique which was completely based on the behaviour of ants while taking their food to their colony. In this paper we put forward an extended approach of ant colony method which can be helpful in providing a better path sequence from shortest to longest path, based on the probability calculated using the extended formula. With the help of results we prove that the proposed formula fulfil the requirements.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software software testing ant colony optimization algorithm path sequence Cyclomatic complexity probability

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