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A Novel Approach to Test Data Selection in Regression Testing of Software

by Soubhagya Sankar Barpanda, Baikuntha Narayan Biswal, Durga Prasad Mohapatra
journal cover thumbnail
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 14
Year of Publication: 2010
Authors: Soubhagya Sankar Barpanda, Baikuntha Narayan Biswal, Durga Prasad Mohapatra
10.5120/300-465

Soubhagya Sankar Barpanda, Baikuntha Narayan Biswal, Durga Prasad Mohapatra . A Novel Approach to Test Data Selection in Regression Testing of Software. International Journal of Computer Applications. 1, 14 ( February 2010), 57-62. DOI=10.5120/300-465

@article{ 10.5120/300-465,
author = { Soubhagya Sankar Barpanda, Baikuntha Narayan Biswal, Durga Prasad Mohapatra },
title = { A Novel Approach to Test Data Selection in Regression Testing of Software },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 14 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 57-62 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number14/300-465/ },
doi = { 10.5120/300-465 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:42:11.669358+05:30
%A Soubhagya Sankar Barpanda
%A Baikuntha Narayan Biswal
%A Durga Prasad Mohapatra
%T A Novel Approach to Test Data Selection in Regression Testing of Software
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 14
%P 57-62
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Regression testing is a signi¯cant, but one of the most unex- plored area in software engineering. Regression testing also forms a major part of the software maintenance process . In this paper, we propose a new technique to select a sub- set of the existing pool of test data to rerun, so that the a®ected parts of the program can be tested. Our approach, takes the help of program dependence graph and incorpo- rates graph coloring technique, and forward program slicing. The advantage of our algorithm is that it rightly identi¯es the a®ected parts of the modi¯ed program. Also there is a very wide scope for the process to be optimized further.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Program slicing Program dependence graph Software main-tenance Regression testing Graph coloring algorithm

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