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Reseach Article

Pairwise Test Case Generation for Less Number of Test- Case Sets

Published on September 2012 by Shalini Gupta, Avdhesh Gupta
International Conference on Advances in Computer Applications 2012
Foundation of Computer Science USA
ICACA - Number 1
September 2012
Authors: Shalini Gupta, Avdhesh Gupta
61022bd9-2631-4601-821c-450d7a874104

Shalini Gupta, Avdhesh Gupta . Pairwise Test Case Generation for Less Number of Test- Case Sets. International Conference on Advances in Computer Applications 2012. ICACA, 1 (September 2012), 23-26.

@article{
author = { Shalini Gupta, Avdhesh Gupta },
title = { Pairwise Test Case Generation for Less Number of Test- Case Sets },
journal = { International Conference on Advances in Computer Applications 2012 },
issue_date = { September 2012 },
volume = { ICACA },
number = { 1 },
month = { September },
year = { 2012 },
issn = 0975-8887,
pages = { 23-26 },
numpages = 4,
url = { /proceedings/icaca/number1/8379-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Computer Applications 2012
%A Shalini Gupta
%A Avdhesh Gupta
%T Pairwise Test Case Generation for Less Number of Test- Case Sets
%J International Conference on Advances in Computer Applications 2012
%@ 0975-8887
%V ICACA
%N 1
%P 23-26
%D 2012
%I International Journal of Computer Applications
Abstract

Software testing is the process of analyzing a software item to detect the differences between existing and required conditions (that is, bugs) and to evaluate the features of the software items. Software testing is an activity that should be done throughout the whole development process. Pairwise testing primarily targets faults caused by interactions between two parameters. However, some faults can be caused by interactions involving more than two parameters. Those faults cannot effectively be detected by pairwise testing. In this research work, we presented an algorithm to generate effective and less number of test cases using pairwise testing technique. The pairwise testing approach is basically based on the fact that the majority of possible errors/faults/bugs occur when two modules/parameters values interact. This proposed algorithm can be used efficiently in various realms of software products. In future we can plan to reduce the number of test cases by using the degree of coverage of three and four-wise in efficient way. Ultimately this will reduce the total number of test cases and provide only effective and efficient test case set and thus it will also save time for both software developers as well as for software testers.

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Index Terms

Computer Science
Information Sciences

Keywords

Pairwise Testing Software Testing Graph Base Testing