Prophet: Automatic Patch Generation via Learning from Successful Human Patches
We present Prophet, a novel patch generation system that learns a probabilistic model over candidate patches from a large code database that contains many past successful human patches. It defines the probabilistic model as the combination of a distribution over program points based on error localiz...
Main Authors: | Long, Fan, Rinard, Martin |
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Other Authors: | Martin Rinard |
Published: |
2015
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Online Access: | http://hdl.handle.net/1721.1/97088 |
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