Computer Science and Engineering, Seoul National University of Science and Technology
232 Gongneung-ro, Nowon-gu, Seoul, 01811, Korea Tel:+82-2-970-6707
Copyright © Seoul National University of Science and Technology. All Rights Reserved.
Faculty
Name |
Kim, Jindae |
MAJOR |
Software Engineering |
TEL |
02-970-6717 |
E-mail |
jindae.kim@seoultech.ac.kr |
Biography
2009.08, Seoul National University, Bachelor of Science in Physics
2009.08, Seoul National University, Bachelor of Science in Computer Science and Engineering
2011.08, Seoul National University, Master of Science in Electrical Engineering and Computer Science
2019.11, Hong Kong University of Science and Technology, PhD in Computer Science and Engineering
2009.08, Seoul National University, Bachelor of Science in Computer Science and Engineering
2011.08, Seoul National University, Master of Science in Electrical Engineering and Computer Science
2019.11, Hong Kong University of Science and Technology, PhD in Computer Science and Engineering
Research Areas
Automatic Program Repair
Mining Software Repository & Change Mining
Fault Localization
Search-based Software Evolution
Mining Software Repository & Change Mining
Fault Localization
Search-based Software Evolution
Teaching
Software Engineering
Programming Language Theory
Formal Language and Automata Theory
Compiler
Programming Language Theory
Formal Language and Automata Theory
Compiler
Selected Publications
Kim, J., Kim, J., Lee, E. et al. The effectiveness of context-based change application on automatic program repair. Empir Software Eng 25, 719–754 (2020). https://doi.org/10.1007/s10664-019-09770-1
Kim, J., Kim, S. Automatic patch generation with context-based change application. Empir Software Eng 24, 4071–4106 (2019). https://doi.org/10.1007/s10664-019-09742-5
Kim, J., Kim, S. Automatic patch generation with context-based change application. Empir Software Eng 24, 4071–4106 (2019). https://doi.org/10.1007/s10664-019-09742-5
Journal Papers
Kim, Jeongho, Jindae Kim, and Eunseok Lee. "VFL: Variable-based fault localization." Information and Software Technology 107 (2019): 179-191.
◾ Accurate Information Type Classification for Software Issue Discussions With Random Oversampling, IEEE Access, vol.12 pp.65373~65385, 2024김진대
◾ Review of Code Similarity and Plagiarism Detection Research Studies, APPLIED SCIENCES-BASEL, vol.13 No.20, 2023김진대
◾ Change Description Difference Analysis between Human and Code Differencing Techniques, Journal of KIISE, vol.50 No.2 pp.150~161, 2023김진대
◾ An Empirical Study on Using Multi-labels for Issues in GitHub, IEEE Access, vol.9 pp.134984~134997, 2021김진대
◾ The effectiveness of context-based change application on automatic program repair, EMPIRICAL SOFTWARE ENGINEERING, vol.25 No.1 pp.719~754, 2019김진대
◾ Automatic patch generation with context-based change application, Empirical Software Engineering, vol.24 No.6 pp.4071~4106, 2019김진대
◾ VFL: Variable-based fault localization, INFORMATION AND SOFTWARE TECHNOLOGY, vol.107 pp.179~191, 2019김진대
Conference Papers
Yida Tao, Jindae Kim, Sunghun Kim, and Chang Xu. 2014. Automatically generated patches as debugging aids: a human study. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2014). Association for Computing Machinery, New York, NY, USA, 64–74. DOI:https://doi.org/10.1145/2635868.2635873
◾ 김무준,김범철,김진대, A Study on Change Description Differences between Human and Differencing Techniques, Proceedings of the 24th Korea Conference on Software Engineering (KCSE 2022), KCSE 2022, 2022김진대
◾ 김진대, 김정호, 이은석, 김성훈, The effectiveness of context-based change application on automatic program repair, Proceedings of the 23rd Korea Conference on Software Engineering (KCSE 2021), 온라인, 2021김진대
◾ 이형원, 김진대, A Study on Correctness of Source Code Differencing Techniques, Proceedings of Korea Software Congress 2020, 온라인, 2020김진대
Awarded
◾ A Study on Change Description Differences between Human and Differencing Techniques, Distinguished Paper Award, Korean Institutes of Information Scientists and Engineers, 2022김진대