Citation Export
DC Field | Value | Language |
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dc.contributor.author | Jeong, Youngjun | - |
dc.contributor.author | Min, Kyeongsic | - |
dc.contributor.author | Yang, Geunseok | - |
dc.contributor.author | Lee, Jung Won | - |
dc.contributor.author | Lee, Byungjeong | - |
dc.date.issued | 2018-01-01 | - |
dc.identifier.uri | https://aurora.ajou.ac.kr/handle/2018.oak/36254 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039440781&origin=inward | - |
dc.description.abstract | In 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.sponsorship | 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.description.sponsorship | Acknowledgments. 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.iso | eng | - |
dc.publisher | Springer Verlag | - |
dc.subject.mesh | Automatic programs | - |
dc.subject.mesh | Bug reports | - |
dc.subject.mesh | Bug-fixing | - |
dc.subject.mesh | Code blocks | - |
dc.subject.mesh | Initial population | - |
dc.subject.mesh | Software fault | - |
dc.subject.mesh | Source codes | - |
dc.subject.mesh | Topic Modeling | - |
dc.title | Toward providing automatic program repair by utilizing topic-based code block similarity | - |
dc.type | Conference | - |
dc.citation.conferenceDate | 2017.12.18. ~ 2017.12.20. | - |
dc.citation.conferenceName | International Conference on Computer Science and its Applications, CSA 2017 | - |
dc.citation.edition | Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 17 | - |
dc.citation.endPage | 1262 | - |
dc.citation.startPage | 1257 | - |
dc.citation.title | Lecture Notes in Electrical Engineering | - |
dc.citation.volume | 474 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, Vol.474, pp.1257-1262 | - |
dc.identifier.doi | 10.1007/978-981-10-7605-3_200 | - |
dc.identifier.scopusid | 2-s2.0-85039440781 | - |
dc.identifier.url | http://www.springer.com/series/7818 | - |
dc.subject.keyword | Automatic repair | - |
dc.subject.keyword | Bug report | - |
dc.subject.keyword | Genetic programming | - |
dc.subject.keyword | Topic modeling | - |
dc.type.other | Conference Paper | - |
dc.description.isoa | false | - |
dc.subject.subarea | Industrial and Manufacturing Engineering | - |
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