Dongsun Kim

Registered user since Tue 21 Mar 2017

Name: Dongsun Kim

Bio: Dongsun Kim is a Software Engineer at He was formerly a Research Associate at the University of Luxembourg and a post-doctoral fellow at the Hong Kong University of Science and Technology. His research interest includes automatic patch generation, fault localization, static analysis, and search-based software engineering (SBSE). In particular, automated debugging is his current focus. He is also pursuing an topic on automatic code generation based on SBSE. His recent work has been recognized by several awards such as a featured article of the IEEE Transactions on Software Engineering (TSE) and ACM SIGSOFT Distinguished Paper of the International Conference on Software Engineering (ICSE). He is leading the FIXPATTERN project funded by FNR (Luxembourg National Research Fund) CORE programme.

Country: South Korea


Personal website:

Research interests: Empirical Software Engineering, Automated Program Reapir


ICPC 2020Social Media Co-Chair in Organizing Committee
Committee Member in Program Committee within the Research-track
ISSTA 2019Author of TBar: Revisiting Template-based Automated Program Repair within the Technical Papers-track
ICSE 2019Author of Learning to Spot and Refactor Inconsistent Method Names within the Technical Track-track
Author of Mining Fix Patterns for FindBugs Violations within the Journal-First Papers-track
ISSTA 2017Author of Impact of Tool Support in Patch Construction within the Technical Papers-track
ISSTA 2018Author of Bench4BL: Reproducibility Study on the Performance of IR-Based Bug Localization within the ISSTA Technical Papers-track
ECOOP and ISSTAAuthor of Bench4BL: Reproducibility Study on the Performance of IR-Based Bug Localization within the Posters-track
PLDI 2017Tutorial organizer of Bug detection in JavaScript web apps using the SAFE framework within the PLDI Tutorials-track
* ICSE 2018 *Author of FaCoY – A Code-to-Code Search Engine within the Technical Papers -track
Author of Augmenting and Structuring User Queries to Support Efficient Free-Form Code Search within the Journal first papers-track