Automatic inference of code transforms for patch generation
Name
fse17.genesis.pdf
Description
Accepted version
Size
1.01 MB
Format
Adobe PDF
Checksum (MD5)
d7ab55108d4c2e78a5397819ac9ef9c0
Author(s)
Long, Fan
Amidon, Peter
Rinard, Martin C
Date Issued
September 2017
Journal
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering
Publisher
ACM Press
Citation
Long, Fan et al. "Automatic inference of code transforms for patch generation." Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, September 2017, Paderborn, Germany, Association for Computing Machinery, September 2019 © 2017 Association for Computing Machinery
Version
Author's final manuscript
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. Keywords: Patch generation; Code transform; Search space inference
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Laboratory for Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3106237.3106253
