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ORCIDDong Jae Kim
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2020 – today
- 2024
[j2]Md Nakhla Rafi
, Dong Jae Kim, An Ran Chen, Tse-Hsun (Peter) Chen, Shaowei Wang:
Towards Better Graph Neural Network-Based Fault Localization through Enhanced Code Representation. Proc. ACM Softw. Eng. 1(FSE): 1937-1959 (2024)- [c9]Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang:
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. ICSE 2024: 99:1-99:13 - [c8]Dong Jae Kim, Jinqiu Yang, Tse-Hsun Chen:
A First Look at the Inheritance-Induced Redundant Test Execution. ICSE 2024: 114:1-114:12 - [c7]Dong Jae Kim, Tse-Hsun Chen:
Exploring the Impact of Inheritance on Test Code Maintainability. ICSE Companion 2024: 382-383 - [c6]Dong Jae Kim, Steven Locke, Tse-Hsun (Peter) Chen, Andrei Toma, Sarah Sajedi, Steve Sporea, Laura Weinkam:
Decoding Anomalies! Unraveling Operational Challenges in Human-in-the-Loop Anomaly Validation. SIGSOFT FSE Companion 2024: 382-387 - [i6]Feng Lin, Dong Jae Kim, Tse-Hsun Chen:
When LLM-based Code Generation Meets the Software Development Process. CoRR abs/2403.15852 (2024) - [i5]Md Nakhla Rafi, Dong Jae Kim, An Ran Chen, Tse-Hsun Chen, Shaowei Wang:
Towards Better Graph Neural Network-based Fault Localization Through Enhanced Code Representation. CoRR abs/2404.04496 (2024) - [i4]Zeyang Ma, An Ran Chen, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang:
LLMParser: An Exploratory Study on Using Large Language Models for Log Parsing. CoRR abs/2404.18001 (2024) - [i3]Zehao Wang, Dong Jae Kim, Tse-Hsun Chen:
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents. CoRR abs/2406.12806 (2024) - [i2]Zeyang Ma, Dong Jae Kim, Tse-Hsun Chen:
OpenLogParser: Unsupervised Parsing with Open-Source Large Language Models. CoRR abs/2408.01585 (2024) - [i1]Md Nakhla Rafi, Dong Jae Kim, Tse-Hsun Chen, Shaowei Wang:
Enhancing Fault Localization Through Ordered Code Analysis with LLM Agents and Self-Reflection. CoRR abs/2409.13642 (2024) - 2023
- [c5]Dong Jae Kim, Steven Locke, Tse-Hsun Peter Chen, Andrei Toma, Steve Sporea, Laura Weinkam, Sarah Sajedi:
Challenges in Adopting Artificial Intelligence Based User Input Verification Framework in Reporting Software Systems. ICSE-SEIP 2023: 99-109 - 2022
- [c4]Tarek Makkouk, Dong Jae Kim, Tse-Hsun Peter Chen:
An Empirical Study on Performance Bugs in Deep Learning Frameworks. ICSME 2022: 35-46 - 2021
- [j1]Dong Jae Kim, Tse-Hsun (Peter) Chen, Jinqiu Yang:
The secret life of test smells - an empirical study on test smell evolution and maintenance. Empir. Softw. Eng. 26(5): 100 (2021) - [c3]Dong Jae Kim, Nikolaos Tsantalis, Tse-Hsun Peter Chen, Jinqiu Yang:
Studying Test Annotation Maintenance in the Wild. ICSE 2021: 62-73 - [c2]Dong Jae Kim, Bo Yang, Jinqiu Yang, Tse-Hsun (Peter) Chen:
How disabled tests manifest in test maintainability challenges? ESEC/SIGSOFT FSE 2021: 1045-1055 - 2020
- [c1]Dong Jae Kim:
An empirical study on the evolution of test smell. ICSE (Companion Volume) 2020: 149-151
Coauthor Index
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