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dc.contributor.authorCambronero, Jose Pablo
dc.contributor.authorShen, Jiasi
dc.contributor.authorCito, Jurgen
dc.contributor.authorGlassman, Elena
dc.contributor.authorRinard, Martin
dc.date.accessioned2021-11-05T16:38:33Z
dc.date.available2021-11-05T16:38:33Z
dc.date.issued2019-10
dc.identifier.urihttps://hdl.handle.net/1721.1/137541
dc.description.abstract© 2019 IEEE. We present a study that characterizes the way developers use automatically generated patches when fixing software defects. Our study tasked two groups of developers with repairing defects in C programs. Both groups were provided with the defective line of code. One was also provided with five automatically generated and validated patches, all of which modified the defective line of code, and one of which was correct. Contrary to our initial expectations, the group with access to the generated patches did not produce more correct patches and did not produce patches in less time. We characterize the main behaviors observed in experimental subjects: a focus on understanding the defect and the relationship of the patches to the original source code. Based on this characterization, we highlight various potentially productive directions for future developer-centric automatic patch generation systems.en_US
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/vlhcc.2019.8818884en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleCharacterizing Developer Use of Automatically Generated Patchesen_US
dc.typeArticleen_US
dc.identifier.citationCambronero, Jose Pablo, Shen, Jiasi, Cito, Jurgen, Glassman, Elena and Rinard, Martin. 2019. "Characterizing Developer Use of Automatically Generated Patches." Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC, 2019-October.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalProceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCCen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2021-04-09T15:05:23Z
dspace.orderedauthorsCambronero, JP; Shen, J; Cito, J; Glassman, E; Rinard, Men_US
dspace.date.submission2021-04-09T15:05:25Z
mit.journal.volume2019-Octoberen_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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