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

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.