Dongsun Kim

About Dongsun Kim

Dongsun Kim, With an exceptional h-index of 24 and a recent h-index of 21 (since 2020), a distinguished researcher at Kyungpook National University, specializes in the field of Automated debugging, Program Repair, Software Engineering, Software Testing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unveiling Memorization in Code Models

Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair

LeakPair: Proactive repairing of memory leaks in single page web applications

Dexbert: effective, task-agnostic and fine-grained representation learning of Android bytecode

Big Code Search: A Bibliography

How are we detecting inconsistent method names? an empirical study from code review perspective

What do code models memorize? an empirical study on large language models of code

Reliable fix patterns inferred from static checkers for automated program repair

Dongsun Kim Information

University

Position

___

Citations(all)

3381

Citations(since 2020)

2612

Cited By

1620

hIndex(all)

24

hIndex(since 2020)

21

i10Index(all)

27

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Dongsun Kim Skills & Research Interests

Automated debugging

Program Repair

Software Engineering

Software Testing

Top articles of Dongsun Kim

Poracle: Testing Patches under Preservation Conditions to Combat the Overfitting Problem of Program Repair

ACM Transactions on Software Engineering and Methodology

2023/12/21

Dongsun Kim
Dongsun Kim

H-Index: 20

Jooyong Yi
Jooyong Yi

H-Index: 9

LeakPair: Proactive repairing of memory leaks in single page web applications

2023/9/11

Jooyong Yi
Jooyong Yi

H-Index: 9

Dongsun Kim
Dongsun Kim

H-Index: 20

Dexbert: effective, task-agnostic and fine-grained representation learning of Android bytecode

IEEE Transactions on Software Engineering

2023/9/1

How are we detecting inconsistent method names? an empirical study from code review perspective

arXiv preprint arXiv:2308.12701

2023/8/24

What do code models memorize? an empirical study on large language models of code

arXiv preprint arXiv:2308.09932

2023/8/19

Reliable fix patterns inferred from static checkers for automated program repair

ACM Transactions on Software Engineering and Methodology

2023/5/26

DigBug—Pre/post-processing operator selection for accurate bug localization

Journal of Systems and Software

2022/7/1

Where were the repair ingredients for defects4j bugs? exploring the impact of repair ingredient retrieval on the performance of 24 program repair systems

Empirical Software Engineering

2021/11

Revisiting test cases to boost generate-and-validate program repair

2021/9/27

A critical review on the evaluation of automated program repair systems

2021/1/1

On the efficiency of test suite based program repair: A systematic assessment of 16 automated repair systems for java programs

2020/6/27

Fixminer: Mining relevant fix patterns for automated program repair

Empirical Software Engineering

2020/5

See List of Professors in Dongsun Kim University(Kyungpook National University)

Co-Authors

academic-engine