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A framework for describing and understanding mining tools in software development
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Proceedings of the 2005 international workshop on Mining software repositories table of contents
St. Louis, Missouri
SESSION: Mining Software Repositories (MSR) table of contents
Pages: 1 - 5  
Year of Publication: 2005
ISBN:1-59593-123-6
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Authors
Daniel M. German  University of Victoria, Victoria BC, Canada
Davor Cubranić  University of Victoria, Victoria BC, Canada
Margaret-Anne D. Storey  University of Victoria, Victoria BC, Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

We propose a framework for describing, comparing and understanding tools for the mining of software repositories. The fundamental premise of this framework is that mining should be done by considering the specific needs of the users and the tasks to be supported by the mined information. First, different types of users have distinct needs, and these needs should be taken into account by tool designers. Second, the data sources available, and mined, will determine if those needs can be satisfied. Our framework is based upon three main principles: the type of user, the objective of the user, and the mined information. This framework has the following purposes: to help tool designers in the understanding and comparison of different tools, to assist users in the assessment of a potential tool; and to identify new research areas. We use this framework to describe several mining tools and to suggest future research directions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. M. German. Mining CVS repositories, the softChange experience. In 1st International Workshop on Mining Software Repositories, 2004.
 
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D. M. German, A. Hindle, and N. Jordan. Visualizing the evolution of software using softChange. In Proc. of the 16th Internation Conference on Software Engineering and Knowledge Engineering (SEKE 2004), pages 336--341, 2004.
 
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H. Richter, G. D. Abowd, C. Miller, and H. Funk. Tagging knowledge acquisition to facilitate knowledge traceability. International Journal on Software Engineering and Knowledge Engineering, 14(1):3--19, Feb. 2004.
 
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K. Schneider, C. Gutwin, R. Penner, and D. Paquette. Mining a software developer's local interaction history. In Proceedings of 1st International Workshop on Mining Software Repositories, 2004.
 
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Collaborative Colleagues:
Daniel M. German: colleagues
Davor Cubranić: colleagues
Margaret-Anne D. Storey: colleagues