期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：6
页码：2102-2104
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The process of fixing bug is bug triage, which aims to correctly assign a developer to a new bug. Software companies spend most of their cost in dealing with these bugs. To reduce time and cost of bug triaging, 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 historic al 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.
关键词：Bug; Bug triage; data reduction; Instance selection; ; Data Mining
