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Software Bug Detection using Data Mining

by Dhyan Chandra Yadav, Saurabh Pal
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 15
Year of Publication: 2015
Authors: Dhyan Chandra Yadav, Saurabh Pal
10.5120/20228-2513

Dhyan Chandra Yadav, Saurabh Pal . Software Bug Detection using Data Mining. International Journal of Computer Applications. 115, 15 ( April 2015), 21-25. DOI=10.5120/20228-2513

@article{ 10.5120/20228-2513,
author = { Dhyan Chandra Yadav, Saurabh Pal },
title = { Software Bug Detection using Data Mining },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 15 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number15/20228-2513/ },
doi = { 10.5120/20228-2513 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:55.359809+05:30
%A Dhyan Chandra Yadav
%A Saurabh Pal
%T Software Bug Detection using Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 15
%P 21-25
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The common software problems appear in a wide variety of applications and environments. Some software related problems arises in software project development i. e. software related problems are known as software defect in which Software bug is a major problem arises in the coding implementation . There are no satisfied result found by project development team. The software bug problems mentation in problem report and software engineer does not easily detect this software defect but by the help of data mining classification software engineers easily can classify software bug. This paper classified and detect software bug by J48, ID3 and Naïve Bayes data mining algorithms. Comparison of these algorithms to detect accuracy and time taken to build model is also presented in this paper.

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Index Terms

Computer Science
Information Sciences

Keywords

Classification: ID3 J48 and Naïve Bayes Software BUG WEKA.

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