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Fault Localization using Probabilistic Program Dependence Graph

by N. Suguna, R M. Chandrasekaran
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 21
Year of Publication: 2013
Authors: N. Suguna, R M. Chandrasekaran
10.5120/11242-6443

N. Suguna, R M. Chandrasekaran . Fault Localization using Probabilistic Program Dependence Graph. International Journal of Computer Applications. 66, 21 ( March 2013), 27-33. DOI=10.5120/11242-6443

@article{ 10.5120/11242-6443,
author = { N. Suguna, R M. Chandrasekaran },
title = { Fault Localization using Probabilistic Program Dependence Graph },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 21 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number21/11242-6443/ },
doi = { 10.5120/11242-6443 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:28.422517+05:30
%A N. Suguna
%A R M. Chandrasekaran
%T Fault Localization using Probabilistic Program Dependence Graph
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 21
%P 27-33
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Fault localization is an expensive technique in software debugging. Program dependence graphs are used for testing, debugging and maintenance applications in software engineering. Program dependence graphs (PDG) are used to build a probabilistic graphical model of program behavior. In this paper we proposed a model based fault localization technique using probabilistic program dependence (PPDG). This work presents algorithm for constructing PPDGs and PPDGs based fault localization. Our experimental result shows that proposed PPDG based fault localization method performs better than existing testing based fault localization (TBFL) method for DotNet programs. Our results also indicate that the probabilistic approach is efficient for fault localization.

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Index Terms

Computer Science
Information Sciences

Keywords

Probabilistic Program Dependency Graph Program Dependency Graph Testing Based Fault Localization Conditional Probabilistic Table

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