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Reseach Article

Automatic Generation of Data Flow Test Paths using a Genetic Algorithm

by Moheb R. Girgis, Ahmed S. Ghiduk, Eman H. Abd-elkawy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 12
Year of Publication: 2014
Authors: Moheb R. Girgis, Ahmed S. Ghiduk, Eman H. Abd-elkawy
10.5120/15684-4534

Moheb R. Girgis, Ahmed S. Ghiduk, Eman H. Abd-elkawy . Automatic Generation of Data Flow Test Paths using a Genetic Algorithm. International Journal of Computer Applications. 89, 12 ( March 2014), 29-36. DOI=10.5120/15684-4534

@article{ 10.5120/15684-4534,
author = { Moheb R. Girgis, Ahmed S. Ghiduk, Eman H. Abd-elkawy },
title = { Automatic Generation of Data Flow Test Paths using a Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 12 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 29-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number12/15684-4534/ },
doi = { 10.5120/15684-4534 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:04.384384+05:30
%A Moheb R. Girgis
%A Ahmed S. Ghiduk
%A Eman H. Abd-elkawy
%T Automatic Generation of Data Flow Test Paths using a Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 12
%P 29-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Path testing a program involves generating all paths through the program, and finding a set of program inputs that will execute every path. Since it is impossible to cover all paths in a program, path testing can be relaxed by selecting a subset of all executable paths that fulfill a certain path selection criterion and finding test data to cover it. The automatic generation of such test paths leads to more test coverage paths thus resulting in efficient and effective testing strategy. This paper presents a structural-oriented technique that uses a genetic algorithm (GA) for automatic generation of a set of test paths that cover the all-uses criterion. In the case of programs that have loops, the proposed technique generates paths according to the ZOT-subset criterion, which requires paths that traverse loops zero, one and two times. The proposed GA uses a binary vector as a chromosome to represent the edges in the DD-graph of the program under test. The set of paths generated by the proposed GA can be passed to a test data generation tool to find program inputs that will execute them. Experiments have been carried out to evaluate the effectiveness of the proposed GA compared to the random test path generation technique.

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Index Terms

Computer Science
Information Sciences

Keywords

Automatic test path generation Data flow testing Genetic algorithms.