Show simple item record

dc.contributor.authorErhabor, Daniel
dc.date.accessioned2022-12-22 21:48:30 (GMT)
dc.date.available2022-12-22 21:48:30 (GMT)
dc.date.issued2022-12-22
dc.date.submitted2022-12-21
dc.identifier.urihttp://hdl.handle.net/10012/19000
dc.description.abstractGitHub Copilot is an artificially intelligent programming assistant used by many developers. While a few studies have evaluated the security risks of using Copilot, there has not been any study to show if it aids developers in producing code with better performance. We evaluate the performance of code produced when developers use GitHub Copilot versus when they do not. To this end, we conducted a user study with 32 participants where each participant solved two C++ programming problems, one with Copilot and the other without it and measured the running time of the participants' solutions on our test data. Our results suggest that using Copilot can produce code with a significantly slower running time.en
dc.language.isoenen
dc.publisherUniversity of Waterlooen
dc.titleMeasuring the Performance of Code Produced with GitHub Copiloten
dc.typeMaster Thesisen
dc.pendingfalse
uws-etd.degree.departmentDavid R. Cheriton School of Computer Scienceen
uws-etd.degree.disciplineComputer Scienceen
uws-etd.degree.grantorUniversity of Waterlooen
uws-etd.degreeMaster of Mathematicsen
uws-etd.embargo.terms0en
uws.contributor.advisorAl-Kiswany, Samer
uws.contributor.advisorNagappan, Meiyappan
uws.contributor.affiliation1Faculty of Mathematicsen
uws.published.cityWaterlooen
uws.published.countryCanadaen
uws.published.provinceOntarioen
uws.typeOfResourceTexten
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record


UWSpace

University of Waterloo Library
200 University Avenue West
Waterloo, Ontario, Canada N2L 3G1
519 888 4883

All items in UWSpace are protected by copyright, with all rights reserved.

DSpace software

Service outages