- author = "Stephanie Forrest and ThanhVu Nguyen and Westley Weimer and Claire {Le Goues}",
- title = "A genetic programming approach to automated software repair",
- booktitle = "GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation",
- year = "2009",
- editor = "Guenther Raidl and Franz Rothlauf and Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and Mauro Birattari and Clare Bates Congdon and Martin Middendorf and Christian Blum and Carlos Cotta and Peter Bosman and Joern Grahl and Joshua Knowles and David Corne and Hans-Georg Beyer and Ken Stanley and Julian F. Miller and Jano {van Hemert} and Tom Lenaerts and Marc Ebner and Jaume Bacardit and Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and Thomas Jansen and Riccardo Poli and Enrique Alba",
- pages = "947--954",
- address = "Montreal",
- publisher = "ACM",
- publisher_address = "New York, NY, USA",
- month = "8-12 " # jul,
- organisation = "SigEvo",
- note = "GECCO 2019 10-Year Most Influential Paper Award, Best paper",
- keywords = "genetic algorithms, genetic programming, genetic improvement, APR, Software Engineering, Testing and Debugging, Programming Languages, Syntax, Algorithms, Software repair, software engineering",
- isbn13 = "978-1-60558-325-9",
- bibsource = "DBLP, http://dblp.uni-trier.de",
- bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
-
DOI = "
doi:10.1145/1569901.1570031",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.7651",
-
URL = "
http://www.cs.virginia.edu/~weimer/p/weimer-gecco2009.pdf",
- language = "en",
- oai = "oai:CiteSeerXPSU:10.1.1.147.7651",
- abstract = "Genetic programming is combined with program analysis methods to repair bugs in off-the-shelf legacy C programs. Fitness is defined using negative test cases that exercise the bug to be repaired and positive test cases that encode program requirements. Once a successful repair is discovered, structural differencing algorithms and delta debugging methods are used to minimize its size. Several modifications to the GP technique contribute to its success: (1) genetic operations are localized to the nodes along the execution path of the negative test case; (2) high-level statements are represented as single nodes in the program tree; (3) genetic operators use existing code in other parts of the program, so new code does not need to be invented. The paper describes the method, reviews earlier experiments that repaired 11 bugs in over 60,000 lines of code, reports results on new bug repairs, and describes experiments that analyze the performance and efficacy of the evolutionary components of the algorithm.",
-
notes = "Best paper. Gold medal HUMIES.
Autofix zune bug: microsoft Zune media player end of year bug 31 dec 2008.
GECCO-2009 A joint meeting of the eighteenth international conference on genetic algorithms (ICGA-2009) and the fourteenth annual genetic programming conference (GP-2009).
ACM Order Number 910092.",
