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：4
页码：0969-0979
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Now a days about 45% cost of software companies is spend in dealing with bugs. An best step of fixing bugs is bug triage, by which a new bug can assigned to the developer. To decrease the manual assigning of bugs text classification is used. In this paper we address how to reduce the scale and improve the quality of bugs. In this paper we apply the instance selection and features selection to reduce scale in bug and word dimension .To apply this both algorithm we have to extract attributes from and build a model of new data sets.We observe the performance of data reduction over 600,00 bugs reports by two open source project ,Eclipse and Mozilla.B y this we result into efficient reducation of data and improve the accuracy of bug triage.Our work provides the different techniques on data processing to form reduced and high quality bug data in software development and maintenance.
关键词：Mining software repositories;Data management ; in bug repositories;Bug data reduction;Features ; selection;Instance selection;Bug Triage
