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题名:
an empirical study on bug assignment automation using chinese bug data
作者: Lin Zhongpeng ; Shu Fengdi ; Yang Ye ; Hu Chenyong ; Wang Qing
会议文集: 2009 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009
会议名称: 3rd International Symposium on Empirical Software Engineering and Measurement
会议日期: OCT 15-16,
出版日期: 2009
会议地点: Lake Buena Vista, FL
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
出版者: ESEM: 2009 3RD INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT
出版地: 345 E 47TH ST, NEW YORK, NY 10017 USA
ISSN: 1938-6451
ISBN: 978-1-4244-4842-5
部门归属: Lin, Zhongpeng; Shu, Fengdi; Yang, Ye; Hu, Chenyong; Wang, Qing Chinese Acad Sci, Inst Software, Beijing, Peoples R China.
主办者: Univ SE Calif, Ctr Syst & Software Engn, ABB, Microsoft Res, IEEE, ACMSIGSOFT, N Carolina State Univ Comp Sci
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8266
Appears in Collections:互联网软件技术实验室 _会议论文

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Recommended Citation:
Lin Zhongpeng,Shu Fengdi,Yang Ye,et al. an empirical study on bug assignment automation using chinese bug data[C]. 见:3rd International Symposium on Empirical Software Engineering and Measurement. Lake Buena Vista, FL. OCT 15-16,.
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