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Taking lessons from history
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Proceedings of the 28th international conference on Software engineering table of contents
Shanghai, China
POSTER SESSION: Doctoral symposium: posters table of contents
Pages: 1001 - 1005  
Year of Publication: 2006
ISBN:1-59593-375-1
Author
Thomas Zimmermann  Saarland University, Saarbrücken, Germany
Sponsors
ACM: Association for Computing Machinery
SIGSOFT: ACM Special Interest Group on Software Engineering
Publisher
ACM  New York, NY, USA
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ABSTRACT

Mining of software repositories has become an active research area. However, most past research considered any change to software as beneficial. This thesis will show how we can benefit from a classification into good and bad changes. The knowledge of bad changes will improve defect prediction and localization. Furthermore, we will describe how to learn project-specific error patterns that will help reducing future errors.


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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A. Mockus and D. M. Weiss. Predicting risk of software changes. Bell Labs Technical Journal, 5(2):169--180, April--June 2000.
 
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NASA. Metrics Data Programsloppy. http://mdp.ivv.nasa.gov/index.html.
 
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T. Zimmermann, J. Śliwerski, and A. Zeller. Locating the risk of change. Technical report, Saarland University, 2006.
 
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