How Much Effort Needed to Fix the Bug? A Data Mining Approach for Effort Estimation and Analysing of Bug Report Attributes in Firefox

Author

Vijayakumar, K. ; Bhuvaneswari, V.

Author_Institution

Dept. of Comput. Applic., Bharathiar Univ., Coimbatore, India

fYear

2014

fDate

6-7 March 2014

Firstpage

335

Lastpage

339

Abstract

Estimating the effort required to fix a bug is a significant task for the project manager to determine the project release. Among various ways to estimate the effort, analysis of bug report attributes proved excellent results. In this paper the effort required to fix the bug on the components of Firefox application is studied. A framework has been charted for analysing the feature attributes which on imparting association rule mining process resulted with dictating rules which provide the effort succumb to fix the bugs of a particular component. The bug reports used for this study are extracted from Bugzilla, an open source bug repository. These bug reports provides a variety of categorical data from previous projects. Analysis of this can improve the planning of personnel to fix the bug and raise the quality of bug reports.

Keywords

data mining; program debugging; public domain software; software development management; Bugzilla; Firefox application; association rule mining process; bug report attributes analysis; data mining approach; dictating rules; effort estimation; feature attributes; open source bug repository; personnel planning; project manager; project release; Association rules; Computer bugs; Estimation; Feature extraction; Software; Software testing; Bugzilla; association rules; bug report; component; data mining; repository; severity;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing Applications (ICICA), 2014 International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICICA.2014.75

Filename

6965067