Towards Effective Bug Triage with Software Data Decline Techniques

Abstract

Bug triage is the process of fixing bug is bug triage, whose main objective is to correctly allocate a developer to a new bug further handling. To reduce time and cost of bug triaging, many software companies spend their most of cost in dealing with these bugs. we present an automatic approach to predict a developer with relevant experience to solve the new coming report. In proposed approach we are doing data reduction on bug data set which will reduce the scale of the data as well as increase the quality of the data. We are using instance selection and feature selection simultaneously with historical bug data. We have added a new module here which will describe the status of the bug like whether it assigned to any developer or not and it is rectified or not.