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Automatic patch generation by learning correct code

Published in ACM SIGPLAN Notices • Jan 11, 2016
NobleIDNI7P75W95R93S88
Authors:
Fan Long
,
Martin Rinard

Abstract

We present Prophet, a novel patch generation system that works with a set of successful human patches obtained from open- source software repositories to learn a probabilistic, application-independent model of correct code. It generates a space of candidate patches, uses the model to rank the candid...

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