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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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Publication Year
2018-01-01
Journal
Lecture Notes in Electrical Engineering
Publisher
Springer Verlag
Citation
Lecture Notes in Electrical Engineering, Vol.474, pp.1257-1262
Keyword
Automatic repairBug reportGenetic programmingTopic modeling
Mesh Keyword
Automatic programsBug reportsBug-fixingCode blocksInitial populationSoftware faultSource codesTopic Modeling
All Science Classification Codes (ASJC)
Industrial and Manufacturing Engineering
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.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36254
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039440781&origin=inward
DOI
https://doi.org/10.1007/978-981-10-7605-3_200
Journal URL
http://www.springer.com/series/7818
Type
Conference
Funding
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.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.
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LEE, JUNG WON이정원
Department of Electrical and Computer Engineering
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