| HATARI: raising risk awareness |
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Foundations of Software Engineering
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Proceedings of the 10th European software engineering conference held jointly with 13th ACM SIGSOFT international symposium on Foundations of software engineering
table of contents
Lisbon, Portugal
SESSION: Research tool demonstrations I
table of contents
Pages: 107 - 110
Year of Publication: 2005
ISBN:1-59593-014-0
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Downloads (6 Weeks): 5, Downloads (12 Months): 37, Citation Count: 9
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ABSTRACT
As a software system evolves, programmers make changes which sometimes lead to problems. The risk of later problems significantly depends on the location of the change. Which are the locations where changes impose the greatest risk? Our HATARI prototype relates a version history (such as CVS) to a bug database (such as BUGZILLA) to detect those locations where changes have been risky in the past. HATARI makes this risk visible for developers by annotating source code with color bars. Furthermore, HATARI provides views to browse through the most risky locations and to analyze the risk history of a particular location.
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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T. Zimmermann and P. Weiβgerber. Preprocessing CVS data for fine-grained analysis. In Proc. International Workshop on Mining Software Repositories (MSR 2004), pages 2--6, Edinburgh, Scotland, UK, May 2004.
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CITED BY 9
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Janaki T. Madhavan , E. James Whitehead, Jr., Predicting buggy changes inside an integrated development environment, Proceedings of the 2007 OOPSLA workshop on eclipse technology eXchange, p.36-40, October 21-21, 2007, Montreal, Quebec, Canada
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