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：3
页码：0741-0744
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Large open source projects receive copious rates of submitted bug reports. Triaging these incoming bug reports manually is difficult and consumes more time. The purpose of bug triage is to assign possible experienced developers to new coming bug report. In proposed approach we are using the text classification techniques to perform automatic bug triage. We are using instance selection and feature selection at the same time with the attributes of the historical bug data. It reduces the problem in data reduction, i.e., reduces the size of bug data and enhance the eminence of the bug data. PSO method is used to predict the expert for fixing the new bug and status about the bug report is also updated whether it is assigned to any developer or not and it is rectified or not.
关键词：Bug; Bug triage; data reduction; Instance ; selection; Data Mining
