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Cited by 761

The DOI matches its Crossref record.

Automatically finding patches using genetic programming

Weimer, Westley, Nguyen, ThanhVu, Le Goues, Claire, Forrest, Stephanie·2009·2009 IEEE 31st International Conference on Software Engineering
DOI 10.1109/icse.2009.5070536
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Abstract

Automatic program repair has been a longstanding goal in software engineering, yet debugging remains a largely manual process. We introduce a fully automated method for locating and repairing bugs in software. The approach works on off-the-shelf legacy applications and does not require formal specifications, program annotations or special coding practices. Once a program fault is discovered, an extended form of genetic programming is used to evolve program variants until one is found that both retains required functionality and also avoids the defect in question. Standard test cases are used to exercise the fault and to encode program requirements. After a successful repair has been discovered, it is minimized using structural differencing algorithms and delta debugging. We describe the proposed method and report experimental results demonstrating that it can successfully repair ten different C programs totaling 63,000 lines in under 200 seconds, on average.

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Authors
Weimer, W., Nguyen, T., Le Goues, C., & Forrest, S.
Venue
2009 IEEE 31st International Conference on Software Engineering
Publisher
IEEE
Published
2009
Pages
364-374
DOI
10.1109/icse.2009.5070536
OpenAlex
W2122947685
Cited by
761
References
0
FWCI
25.74
Type
conference paper
Language
en
Open access
closed

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