Automatic Inference of Code Transforms and Search Spaces for Automatic Patch Generation Systems
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MIT-CSAIL-TR-2017-008.pdf
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Author(s)
Long, Fan
Amidon, Peter
Rinard, Martin
Advisor(s)
Martin Rinard
Date Issued
July 8, 2016
Series/Report no.
MIT-CSAIL-TR-2017-008
Abstract
We present a new system, Genesis, that processes sets of human patches to automatically infer code transforms and search spaces for automatic patch generation. We present results that characterize the effectiveness of the Genesis inference algorithms and the resulting complete Genesis patch generation system working with real-world patches and errors collected from top 1000 github Java software development projects. To the best of our knowledge, Genesis is the first system to automatically infer patch generation transforms or candidate patch search spaces from successful patches.
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