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an empirical study on bug assignment automation using chinese bug data
Lin Zhongpeng; Shu Fengdi; Yang Ye; Hu Chenyong; Wang Qing
2009
会议名称3rd International Symposium on Empirical Software Engineering and Measurement
会议录名称2009 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009
会议日期OCT 15-16,
会议地点Lake Buena Vista, FL
出版地345 E 47TH ST, NEW YORK, NY 10017 USA
出版者ESEM: 2009 3RD INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT
ISSN1938-6451
ISBN978-1-4244-4842-5
部门归属Lin, Zhongpeng; Shu, Fengdi; Yang, Ye; Hu, Chenyong; Wang, Qing Chinese Acad Sci, Inst Software, Beijing, Peoples R China.
摘要Bug assignment is an important step in bug life-cycle management. In large projects, this task would consume a substantial amount of human effort. To compare with the previous studies on automatic bug assignment in FOSS (Free/Open Source Software) projects, we conduct a case study on a proprietary software project in China. Our study consists of two experiments of automatic bug assignment, using Chinese text and the other non-text information of bug data respectively. Based on text data of the bug repository, the first experiment uses SVM to predict bug assignments and achieve accuracy close to that by human triagers. The second one explores the usefulness of non-text data in making such prediction. The main results from our study includes that text data are most useful data in the bug tracking system to triage bugs, and automation based on text data could effectively reduce the manual effort.
关键词Chinese Bug Textual Data Foss Svm Automatic Bug Assignment Bug Life-cycle Management Bug Repository Empirical Study Free/open Source Software Project Triage Bug Tracking System Program Debugging Public Domain Software Software Maintenance Statistical Analysis Support Vector Machines Text Analysis
主办者Univ SE Calif, Ctr Syst & Software Engn, ABB, Microsoft Res, IEEE, ACMSIGSOFT, N Carolina State Univ Comp Sci
内容类型会议论文
URI标识http://ir.iscas.ac.cn/handle/311060/8266
专题互联网软件技术实验室
推荐引用方式
GB/T 7714
Lin Zhongpeng,Shu Fengdi,Yang Ye,et al. an empirical study on bug assignment automation using chinese bug data[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:ESEM: 2009 3RD INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT,2009.
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