Software Engineering Laboratory

Hanyang University SELab

Addressing core problems in software engineering and researching better software development methodologies.

Research Areas

Software Testing

We research a wide range of testing techniques to ensure software quality, including automated test generation, regression testing, and mutation testing.

Software Maintenance

We research ways to improve the long-term maintainability of software, including code refactoring, technical debt management, and software evolution.

AI for Software Engineering

We apply artificial intelligence and machine learning techniques to software engineering to improve development productivity and code quality.

Recent Publications

ANTLION: Practical Test Oracle Generation via Multi-turn LLM Compact Prompting

Gina Jung, Yunho Kim

Korea Conference on Software Engineering (KCSE), 2026

Thompson Sampling based Directed Collaborative Fuzzer

Hyeonmin Mo, Yunho Kim

Korea Conference on Software Engineering (KCSE), 2026

Industrial Application of Deep Learning based Fault Localization with Mutation Features

Yang, H., Lee, A., Cho, K., Kim, Yunho

2026 IEEE International Conference on Software Testing, Verification and Validation (ICST), 2026

Interested in our research?

We are always looking for motivated students and researchers to join our team.

Contact Us