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Toward providing automatic program repair by utilizing topic-based code block similarity
  • Jeong, Youngjun ;
  • Min, Kyeongsic ;
  • Yang, Geunseok ;
  • Lee, Jung Won ;
  • Lee, Byungjeong
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dc.contributor.authorJeong, Youngjun-
dc.contributor.authorMin, Kyeongsic-
dc.contributor.authorYang, Geunseok-
dc.contributor.authorLee, Jung Won-
dc.contributor.authorLee, Byungjeong-
dc.date.issued2018-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36254-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039440781&origin=inward-
dc.description.abstractIn this paper, we propose the model for automated repair in software fault. Automated patch generation is the most important technique in these days. Genetic Programming (GP) technique is used for automatic program repair, but most of the techniques use just a source code including fault to make initial population. We propose two methods to select similar bug fixing history; using topic modeling and finding similar bugs by using code block similarity.-
dc.description.sponsorshipThis research was supported by Next-Generation Information Computing Development Program (NRF-2014M3C4A7030504) and by Basic Science Research Program (NRF-2017R1A2B4009937) through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning.-
dc.description.sponsorshipAcknowledgments. This research was supported by Next-Generation Information Computing Development Program (NRF-2014M3C4A7030504) and by Basic Science Research Program (NRF-2017R1A2B4009937) through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning.-
dc.language.isoeng-
dc.publisherSpringer Verlag-
dc.subject.meshAutomatic programs-
dc.subject.meshBug reports-
dc.subject.meshBug-fixing-
dc.subject.meshCode blocks-
dc.subject.meshInitial population-
dc.subject.meshSoftware fault-
dc.subject.meshSource codes-
dc.subject.meshTopic Modeling-
dc.titleToward providing automatic program repair by utilizing topic-based code block similarity-
dc.typeConference-
dc.citation.conferenceDate2017.12.18. ~ 2017.12.20.-
dc.citation.conferenceNameInternational Conference on Computer Science and its Applications, CSA 2017-
dc.citation.editionAdvances in Computer Science and Ubiquitous Computing - CSA-CUTE 17-
dc.citation.endPage1262-
dc.citation.startPage1257-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume474-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, Vol.474, pp.1257-1262-
dc.identifier.doi10.1007/978-981-10-7605-3_200-
dc.identifier.scopusid2-s2.0-85039440781-
dc.identifier.urlhttp://www.springer.com/series/7818-
dc.subject.keywordAutomatic repair-
dc.subject.keywordBug report-
dc.subject.keywordGenetic programming-
dc.subject.keywordTopic modeling-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaIndustrial and Manufacturing Engineering-
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