Dr. Dong Jae (DJae) Kim is an Assistant Professor at the Jarvis School of Computing at DePaul University, Chicago, Illinois, USA. Prior to joining DePaul, Dr. Kim received his Ph.D. from Concordia University, Canada in August 2024, under the supervision of Dr. Tse-Hsun (Peter) Chen. During his Ph.D., Dr. Kim worked as a technical consultant for Ericsson in 2023 and data anomaly engineer at ERA-Environmental Management solution in 2024. Before starting his graduate studies in 2019, Dr. Kim also worked at the various web-based startup as a software engineer. Dr. Kim's research focuses on software engineering topics, including software debugging, software testing, software maintainability, software quality assurances, software re-engineering, program analysis, mining software repositories and AI-driven software engineering. Currently, Dr. Kim's research is on benchmarking capability of large-language models on software engineering tasks.
Feel free to reach out to me if you'd like to discuss research or explore potential collaboration!
SABR Lab
At DePaul University, Dr. Kim directs the Software Analysis, Automation, Benchmarking, and Re-engineering Lab (SABR Lab). The group advances the frontiers of intelligent software engineering, developing methodologies and tools that improve the quality, efficiency, and reliability of modern software systems.
Open Positions
SABR Lab is looking for highly motivated M.Sc. and Ph.D. students for Fall 2026 and Winter 2027. If you have strong programming skills and a keen interest in software engineering, please email Dr. Kim with your CV, transcript, and a brief letter of interest.
News
- 2026 Our paper, The Impact of Input Order Bias on Large Language Models for Software Fault Localization, was accepted to the ICSE 2026 Main Track.
- 2026 Our work on LLM-agent-based identification of performance-sensitive configurations was published in Empirical Software Engineering.
- 2026 Our extended work on accurate and efficient log parsing using smaller open-source language models was published in ACM Transactions on Software Engineering and Methodology.
- July 2026 Received a DePaul Undergraduate Research Grant to develop an enterprise-scale fault-localization benchmark using Mozilla Firefox crash telemetry.
- 2026 Gave an invited talk, Order Matters! Context-Order Bias in Agentic Software Fault Localization, at the Conference on AI and Agentic Systems in San Jose.
- 2026 Joined the reviewer board of ACM Transactions on Software Engineering and Methodology for a two-year appointment.
- Dec. 2026 Developed and launched SE441: AI-Augmented Software Delivery and DevOps at DePaul University.
- Sept. 2025 Welcomed Fairuz Bilquis Khan as a Ph.D. student working on LLM-based code navigation, execution analysis, and agent context management.
- July 2025 Began a research collaboration with Mozilla on fault localization using Firefox crash data and telemetry.
- 2025 Received support from the Motorola Solutions Foundation for research on accessible web interfaces and adaptive user onboarding.
- 2025 Published research on LLM-based code generation and open-source log parsing at ICSE 2025, and LLM-based log-level suggestion at ICST 2025.
- Sept. 2024 Joined the School of Computing at DePaul University as an Assistant Professor.
- Sept. 2024 Completed a Ph.D. in Computer Science at Concordia University.