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Expertise Browser: a quantitative approach to identifying expertise
Abstract
Finding relevant expertise is a critical need in collaborative software engineering, particularly in geographically distributed developments. We introduce a tool, called Expertise Browser (ExB), that uses data from change management systems to locate people with desired expertise. It uses a quantification of experience, and presents evidence to validate this quantification as a measure of expertise. The tool enables developers, for example, to easily distinguish someone who has worked only briefly in a particular area of the code from someone who has more extensive experience, and to locate people with broad expertise throughout large parts of the product, such as modules or even subsystems. In addition, it allows a user to discover expertise profiles for individuals or organizations. Data from a deployment of the tool in a large software development organization shows that newer, remote sites tend to use the tool for expertise location more frequently. Larger, more established sites used the tool to find expertise profiles for people or organizations. We conclude by describing extensions that provide continuous awareness of ongoing work and an interactive, quantitative resume/spl acute/.
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Cited by
An empirical study of speed and communication in globally distributed software development
Herbsleb, J. D., & Mockus, A. (2003) · IEEE Transactions on Software Engineering · doi:10.1109/tse.2003.1205177 · Cited by 997
Self-citationFormal models for expert finding in enterprise corpora
Balog, K., Azzopardi, L., & de Rijke, M. (2006) · Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval · doi:10.1145/1148170.1148181 · Cited by 553
Kotlarsky, J., & Oshri, I. (2005) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000520 · Cited by 520
Familiarity, complexity, and team performance in geographically distributed software development
Espinosa, J. A., Slaughter, S. A., Kraut, R. E., & Herbsleb, J. D. (2007) · Organization Science · doi:10.1287/orsc.1070.0297 · Cited by 420
Self-citationSharing Knowledge and Expertise: The CSCW View of Knowledge Management
Ackerman, M. S., Dachtera, J., Pipek, V., & Wulf, V. (2013) · Computer Supported Cooperative Work (CSCW) · doi:10.1007/s10606-013-9192-8 · Cited by 229
Metadata
- Authors
- Mockus, A., & Herbsleb, J. D.
- Venue
- Proceedings of the 24th International Conference on Software Engineering. ICSE 2002
- Publisher
- ACM
- Published
- 2003-06-25
- Pages
- 503-512
- ISSN
- 0270-5257 (ISSN-L)
- OpenAlex
- W3148527572
- Cited by
- 383
- References
- 0
- FWCI
- 13.47
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Mockus, A., & Herbsleb, J. D. (2003). Expertise Browser: a quantitative approach to identifying expertise. Proceedings of the 24th International Conference on Software Engineering. ICSE 2002. https://doi.org/10.1109/icse.2002.1007994
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