Dongsun Kim is an Associate Professor of Computer Science and Engineering with 11 years of experience bridging program analysis, automated program repair, and data-driven big-code research. He leads an EU-funded automated program repair project and has co-developed practical repair tools (PAR, LSRepair, TBar, iFixR, AVATAR) and code search systems (CoCaBu, FaCoY) that mine worldwide open-source repositories like GitHub. His work—recognized with an ICSE Distinguished Paper Award and publications in TSE, ICSE, FSE and others—focuses on making automated fixes acceptable to developers and extending into AI4SE, SE4AI, and SE4Security. He has a consistent record of mentoring master’s and PhD students to top-tier publications and brings industrial experience from Furiosa.ai to inform applied research. Notably, his tools emphasize developer-friendly patch structure and semantic similarity search across massive codebases, reflecting a pragmatic blend of theory and tooling.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 서강대학교
"The Debugging Book"의 한국어 번역 프로젝트 (Translation project for "The Debugging Book"). 번역 참여를 원하시면, "kr_notebooks/CONTRIBUTING.md"를 참고하여 신청하세요.
Contributions:1 PR, 6 pushes, 2 branches in 1 year 8 months
debuggingnotebookstranslation
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