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Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques

by G. Parthasarathy, D.C. Tomar, Blessy John
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 125 - Number 9
Year of Publication: 2015
Authors: G. Parthasarathy, D.C. Tomar, Blessy John
10.5120/ijca2015903002

G. Parthasarathy, D.C. Tomar, Blessy John . Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques. International Journal of Computer Applications. 125, 9 ( September 2015), 8-15. DOI=10.5120/ijca2015903002

@article{ 10.5120/ijca2015903002,
author = { G. Parthasarathy, D.C. Tomar, Blessy John },
title = { Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques },
journal = { International Journal of Computer Applications },
issue_date = { September 2015 },
volume = { 125 },
number = { 9 },
month = { September },
year = { 2015 },
issn = { 0975-8887 },
pages = { 8-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume125/number9/22458-2015903002/ },
doi = { 10.5120/ijca2015903002 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:16:05.809762+05:30
%A G. Parthasarathy
%A D.C. Tomar
%A Blessy John
%T Analysis of Bug Triage using Data Preprocessing (Reduction) Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 125
%N 9
%P 8-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the bug triage we have an unavoidable step of fixing the bugs which helps in correctly assigning a developer to a new bug. Text classification and binary classification techniques are applied to decrease the time cost in manual work and to enhance the working of automatic bug triage. We address the problem of data reduction and hence we combine the instance selection and the feature selection algorithms to simultaneously reduce the data scale and enhance the accuracy of the bug reports in the bug triage. We determine a predictive model to perform the algorithms which adds on to prioritize the developer to a new bug by extracting attributes and the bug data set from the historical table. By leveraging data mining techniques, mining software repositories can uncover interesting information in software repositories and solve real-world software problem like Eclipse, Mozilla and GNOME.

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Index Terms

Computer Science
Information Sciences

Keywords

Bug Triage Data Reduction in bug report preprocessing the bug report Fixing Bugs

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