| Title: | an empirical study on bug assignment automation using chinese bug data |
| Author: | Lin Zhongpeng
; Shu Fengdi
; Yang Ye
; Hu Chenyong
; Wang Qing
|
| Source: | 2009 3rd International Symposium on Empirical Software Engineering and Measurement, ESEM 2009
|
| Conference Name: | 3rd International Symposium on Empirical Software Engineering and Measurement
|
| Conference Date: | OCT 15-16,
|
| Issued Date: | 2009
|
| Conference Place: | Lake Buena Vista, FL
|
| Keyword: | 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
|
| Publisher: | ESEM: 2009 3RD INTERNATIONAL SYMPOSIUM ON EMPIRICAL SOFTWARE ENGINEERING AND MEASUREMENT
|
| Publish Place: | 345 E 47TH ST, NEW YORK, NY 10017 USA
|
| ISSN: | 1938-6451
|
| ISBN: | 978-1-4244-4842-5
|
| Department: | Lin, Zhongpeng; Shu, Fengdi; Yang, Ye; Hu, Chenyong; Wang, Qing Chinese Acad Sci, Inst Software, Beijing, Peoples R China.
|
| Sponsorship: | Univ SE Calif, Ctr Syst & Software Engn, ABB, Microsoft Res, IEEE, ACMSIGSOFT, N Carolina State Univ Comp Sci
|
| English Abstract: | 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. |
| Content Type: | 会议论文
|
| URI: | 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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| 2009-林中鹏-ESEM.pdf（338KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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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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