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|a Long, Fan
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|a Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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|a Massachusetts Institute of Technology. Laboratory for Computer Science
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|a Amidon, Peter
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|a Rinard, Martin C
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|a Automatic inference of code transforms for patch generation
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|b ACM Press,
|c 2019-09-10T19:04:25Z.
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|z Get fulltext
|u https://hdl.handle.net/1721.1/122047
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|a We present a new system, Genesis, that processes human patches to automatically infer code transforms for automatic patch generation. We present results that characterize the effectiveness of the Genesis inference algorithms and the complete Genesis patch generation system working with real-world patches and defects collected from 372 Java projects. To the best of our knowledge, Genesis is the first system to automatically infer patch generation transforms or candidate patch search spaces from previous successful patches. Keywords: Patch generation; Code transform; Search space inference
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|a United States. Defense Advanced Research Projects Agency (Grant FA8750-14-2-0242)
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|a Article
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|t Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
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