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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Shen Zhang Yongji Wang Junchao Xiao | 
| Copyright Year | 2008 | 
| Description | Author affiliation: Lab. for Internet Software Technol., Chinese Acad. of Sci., Beijing, China (Shen Zhang; Yongji Wang; Junchao Xiao) | 
| Abstract | A better understanding of the individual developers¿ performance has been shown to result in benefits such as improved project estimation accuracy and enhanced software quality assurance. However, new challenges of distinguishing the individual activities involved in software evolution arise when considering collaborative development environments. Since software repositories such as version control systems (VCS) and bug tracking systems (BTS) are available for most software projects and hold a detailed and rich record of the historical development information, this paper presents our experiences mining individual performance indicators in collaborative development environments by using these repositories. The base of our key idea is to identify the complexity metrics (in the code base) and field defects (from bug tracking system) at individual-level by incorporating the historical data from version control system. We also remotely measure and analyze these indicators mined from a libre project jEdit, which involves around one hundred developer. The results show that these indicators are feasible and instructive in the understanding of the individual performance. | 
| Starting Page | 247 | 
| Ending Page | 254 | 
| File Size | 1083111 | 
| Page Count | 8 | 
| File Format | |
| ISBN | 9780769534466 | 
| ISSN | 15301362 | 
| DOI | 10.1109/APSEC.2008.12 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2008-12-03 | 
| Publisher Place | China | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Collaborative software Software performance Software quality Control systems Laboratories Humans Performance analysis Software engineering Internet Computer science collaborative development Software Repositories Complexity Metrics Individual Performance Indicators | 
| Content Type | Text | 
| Resource Type | Article | 
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