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dc.contributor.authorSidiroglou-Douskos, Stelios
dc.contributor.authorLahtinen, Eric
dc.contributor.authorEden, Anthony
dc.contributor.authorLong, Fan
dc.contributor.authorRinard, Martin C
dc.date.accessioned2021-02-17T20:01:26Z
dc.date.available2021-02-17T20:01:26Z
dc.date.issued2017-08
dc.identifier.isbn9781450351058
dc.identifier.urihttps://hdl.handle.net/1721.1/129797
dc.description.abstractWe present CodeCarbonCopy (CCC), a system for transferring code from a donor application into a recipient application. CCC starts with functionality identified by the developer to transfer into an insertion point (again identified by the developer) in the recipient. CCC uses paired executions of the donor and recipient on the same input file to obtain a translation between the data representation and name space of the recipient and the data representation and name space of the donor. It also implements a static analysis that identifies and removes irrelevant functionality useful in the donor but not in the recipient.We evaluate CCC on eight transfers between six applications. Our results show that CCC can successfully transfer donor functionality into recipient applications.en_US
dc.description.sponsorshipDARPA (Grant FA8750-14-2-0242)en_US
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3106237.3106269en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleCodeCarbonCopyen_US
dc.typeArticleen_US
dc.identifier.citationSidiroglou-Douskos, Stelios et al. "CodeCarbonCopy." ESEC/FSE 2017: Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, September 2017, Paderborn, Germany, Association for Computing Machinery ©2017 Copyright held by the owner/author(s).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.relation.journalESEC/FSE 2017: Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineeringen_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.updated2019-07-02T16:27:46Z
dspace.date.submission2019-07-02T16:27:47Z
mit.metadata.statusComplete


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