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Colloquium - Kim

 
3/3/2008
3:30pm-4:30pm
ECCR 245

Predicting Bugs by Analyzing Software History
University of California, Santa Cruz

Almost all software contains undiscovered bugs, ones that have not yet been exposed by testing or by users. What is the location of these bugs? This talk presents two approaches for predicting the location of bugs by analyzing software history. First, the bug cache contains 10% of the files in a software project. Through an analysis of the software's development history and the location of bugs, files are added and removed from the cache based on four bug localities: temporal, spatial, changed-entity, and new-entity locality. After processing, files in the bug cache contain 73-95% of undiscovered bugs. Second, to further improve the localization of predicted bugs, automatic change classification uses information from the configuration management commit transactions. Using machine learning techniques (Bayes Net, Support Vector Machines), we classify commits as being likely to have a fault, or unlikely to have a fault. The best precision and recall figures for each project are typically in the mid-70's. Hence, it is possible for a configuration management system to inform a developer, post-commit, that they have just created a bug (with approximately 94% likelihood).

Sunghun Kim is a postdoctoral associate at MIT and a member of the Program Analysis Group. He completed his PhD in the Computer Science Department at the University of California, Santa Cruz in 2006. He was a Chief Technical Officer (CTO), and led a 25-person team at the Nara Vision Co. Ltd, a leading Internet software company in Korea for six years. His core research area is Software Engineering, focusing on software evolution, program analysis, and empirical studies.

Hosted by Kenneth Anderson.


The Department holds colloquia throughout the Fall and Spring semesters. These colloquia, open to the public, are typically held on Thursday afternoons, but sometimes occur at other times as well. If you would like to receive email notification of upcoming colloquia, subscribe to our Colloquia Mailing List. If you would like to schedule a colloquium, see Colloquium Scheduling.

Sign language interpreters are available upon request. Please contact Stephanie Morris at least five days prior to the colloquium.

 
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Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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