Automatic inference of code transforms for patch generation

Fan Long, Peter Amidon, Martin C. Rinard

Abstract

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.

BibTeX

@inproceedings{Long-al:FSE17,
  author    = {Fan Long and
               Peter Amidon and
               Martin C. Rinard},
  title     = {Automatic inference of code transforms for patch generation},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {727--739},
  publisher = {{ACM}},
  year      = {2017},
}

Automatic inference of code transforms for patch generation

Abstract

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