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Cited by 486

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Predicting Faults from Cached History

Kim, Sunghun, Zimmermann, Thomas, Whitehead Jr., E. James, Zeller, Andreas·2007·29th International Conference on Software Engineering (ICSE'07)

Abstract

We analyze the version history of 7 software systems to predict the most fault prone entities and files. The basic assumption is that faults do not occur in isolation, but rather in bursts of several related faults. Therefore, we cache locations that are likely to have faults: starting from the location of a known (fixed) fault, we cache the location itself, any locations changed together with the fault, recently added locations, and recently changed locations. By consulting the cache at the moment a fault is fixed, a developer can detect likely fault-prone locations. This is useful for prioritizing verification and validation resources on the most fault prone files or entities. In our evaluation of seven open source projects with more than 200,000 revisions, the cache selects 10% of the source code files; these files account for 73%-95% of faults - a significant advance beyond the state of the art.

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Metadata

Authors
Kim, S., Zimmermann, T., Whitehead Jr., E. J., & Zeller, A.
Venue
29th International Conference on Software Engineering (ICSE'07)
Publisher
IEEE
Published
2007-05
Pages
489-498
ISSN
0270-5257 (ISSN-L)
OpenAlex
W2151553346
Cited by
486
References
1
FWCI
15.51
Type
conference paper
Language
en
Open access
closed

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