Framework for Automatic Bug Classification in Bug Triage System

Abstract

A Software bug is an error, flaw, failure or fault in a computer program or system that causes it to produce an incorrect or unexpected result. When bugs arise, we have to fix them which is not easy. Most of the companies spend 40% of cost to fixing bugs. The process of fixing bug is bug triage or bug assortment. Triagingthis incoming report manually is error prone and time consuming .Software companies spend most of their cost in dealing with these bugs. In this paper we classifying the bugs so that we can determine the class of the bug at which class that bug is belongs and after applying the classification we can assign the particular bug to the exact developer for fixing them. This is efficient. In this paper we are using combination of two classification techniques ,na�ve Bayes (NB) and k nearest neighbor(KNN).In modern days company uses automatic bug triaging system but in Traditional manual Triaging system is used which is not efficient and taking too much time .For triaging the bug we require bug detail which is called bug repository. In this paper we also reducing the bug dataset because if we having more data with unused information which causes problem to assigning bugs. For implementing this we use instance selection and feature selection for reducing bug data. This paper describe the whole procedure of bug allotment from starting to end and at last result will show on the basis of graph .Graph represents the maximum possibility of class means at which class the bug will belongs.