Lab Tool

Our Scholarly Contributions

Explore our publications, patents, and achievements.

2025

  • Geunseok Yang*, Gyumin Nam, Seojin Choi, Hyunsoo Lee, Yungi Kim, Dokyeong An

    A Multi-Agent Orchestration Framework Leveraging Open-Source Large Language Models for Automated Bug Resolution

    to be submitted to IEEE Transactions on Software Engineering (TSE, Q1, IF: 6.5)

    Journal

  • Geunseok Yang*

    Reward Engineering for Structural and Semantic Quality in Reinforcement-Trained Bug Report Generation Using Open-Source Large Language Models

    under review at Empirical Software Engineering (EMSE, Q1, IF: 3.6)

    Journal

  • Gyumin Nam, Geunseok Yang*

    LLMLoc++: Dependable Bug Localization through Structure-Aware and Open-Source LLM–Driven Retrieval

    under review at Journal of Systems and Software (JSS, Q1, IF:4.1)

    Journal

  • Seojin Choi, Geunseok Yang*

    DepRL: CTQRS-Guided and Reward-Engineered Framework Using Open-Source LLMs for Reliable Bug Report Generation

    under review at Journal of Systems and Software (JSS, Q1, IF:4.1)

    Journal

  • Yungi Kim, Geunseok Yang*

    AutoTestX++: Reliable Multi-Agent Test Generation and Validation for Dependable Software Systems

    under review at Journal of Systems and Software (JSS, Q1, IF:4.1)

    Journal

  • Hyunsoo Lee, Geunseok Yang*

    AgentRepair++: Open-Source LLM–Driven Multi-Agent Framework for Dependable and Reliable Program Repair

    under review at Journal of Systems and Software (JSS, Q1, IF:4.1)

    Journal

  • Dokyeong An, Geunseok Yang*

    CommitMessageGen-Agent++: A Reproducible and Dependable Multi-Agent Framework Based on Open-Source LLMs for Commit Message Generation

    under review at Journal of Systems and Software (JSS, Q1, IF:4.1)

    Journal

  • Dokyeong An, Geunseok Yang*

    CommitMessageGen-Agent: A Dependable Multi-Agent Approach for Reproducible Commit Message Generation

    under review at Journal of Systems and Software

    Journal

  • Yungi Kim, Geunseok Yang*

    AutoTestX: Dependable Test Generation with Open-Source LLMs via Multi-Agent Orchestration

    under review at Journal of Systems and Software

    Journal

  • Murun Ganzorig, Geunseok Yang*

    Empirical Lessons for Practitioners: Selecting Deep Learning Models for Security Bug Report Classification

    under review at IEEE Software (SCIE) (Q2, IF: 3.0)

    Journal

  • Geunseok Yang*

    CTQRS-Based Reinforcement Learning Framework for Reliable Bug Report Generation Using Open-Source Large Language Models

    under review at Applied Sciences (SCIE) (Q1, IF: 2.5)

    Journal

  • Jinfeng Ji, Geunseok Yang*

    Integrating Attention Mechanism with Code Structural Affinity and Execution Context Correlation for Automated Bug Repair

    Accepted at CMC-Computers, Materials & Continua (SCIE) (Q3, IF: 1.7)

    Journal

  • 최서진, 양근석*

    오픈소스 LLM 기반 QLoRA 미세조정과 사고의 연쇄(CoT)·동적 Few-shot·Best-of-N 기법을 활용한 버그 리포트 생성

    Journal of KIISE (KCI), Invited Paper from Best Paper Award, Under Review

    Journal

  • Gyumin Nam, Geunseok Yang*

    LLMLoc: A Structure-Aware Retrieval System for Zero-Shot Bug Localization

    1st revision at Electronics (SCIE) (Q2, IF: 2.5)

    Journal

  • Seojin Choi, Geunseok Yang*

    AgentReport: A Multi-Agent LLM Approach for Automated and Reproducible Bug Report Generation

    1st revision at Applied Sciences (SCIE) (Q1, IF: 2.5)

    Journal

  • Murun Ganzorig, Jinfeng Ji, Geunseok Yang*

    Security Bug Report Classification via Cross-Project Similarity-Based Data Augmentation and Deep Learning Models

    In IEEE Access (SCIE), Vol. 13, 2025 (Q2, IF: 3.4)

    Journal

  • Jinfeng Ji, Geunseok Yang*

    Do Stop Words Matter in Bug Report Analysis? Empirical Findings Using Deep Learning Models across Duplicate, Severity, and Priority Classification

    In Applied Sciences (SCIE), Vol. 15, No. 16, 2025 (Q1, IF: 2.5)

    Journal

  • Geunseok Yang*, Jinfeng Ji, Dongkyu Kim

    Enhancing Bug Assignment with Developer-Specific Feature Extraction and Hybrid Deep Learning

    In Electronics (SCIE), Vol. 14, No.12, 2025 (Q2, IF: 2.6)

    Journal

  • Jinfeng Ji, Geunseok Yang*

    Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction

    In IEEE Access (SCIE), Vol. 13, 2025 (Q2, IF: 3.4)

    Journal

  • Geunseok Yang*, Jinfeng Ji, Eontae Kim

    LSTM Attention-Driven Similarity Learning for Effective Bug Localization

    In Applied Sciences (SCIE), Vol. 15, No. 3, 2025 (Q1, IF: 2.5)

    Journal

  • Geunseok Yang*, Jinfeng Ji, Taemin Kim

    Feature Learning via Correlation Analysis for Effective Duplicate Detection

    In Applied Sciences (SCIE), Vol. 15, No. 3, 2025 (Q1, IF: 2.5)

    Journal

  • Geunseok Yang*, Jinfeng Ji, Jaehee Kim

    Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism

    In Applied Sciences (SCIE), Vol. 15, No. 2, 2025 (Q1, IF: 2.5)

    Journal

Others

  • 김언태, 양근석*, 정인홍

    버그 리포트의 다중 토픽 분석과 CNN 알고리즘을 활용한 버그 심각도 예측 방법

    정보과학회논문지 : 소프트웨어 및 응용, 2023 (KCI), Vol. 50, No. 11, pp. 954-965, 2023

    Journal

  • Taemin Kim, Geunseok Yang*

    Predicting Duplicate in Bug Report Using Topic-based Duplicate Learning with Fine Tuning-based BERT Algorithm

    In IEEE Access (SCIE), Vol. 10, pp. 129666–129675, 2022 (Q1, IF: 3.367)

    Journal

  • JeongMin Jang, Geunseok Yang*

    A Bug Triage Technique using Developer-based Feature Selection and CNN-LSTM Algorithm

    In Applied Sciences (SCIE), Vol. 12, No. 18, pp. 1–18, 2022. (Q2, IF: 3.021)

    Journal

  • JungYeon Kim, Geunseok Yang*

    Bug Severity Prediction Algorithm using Topic-based Feature Selection and CNN-LSTM Algorithm

    In IEEE Access (SCIE), Vol. 10, pp. 94643–94651, 2022 (Q1, IF: 3.367)

    Journal

  • Geunseok Yang, Byungjeong Lee*

    Utilizing Topic-Based Similar Commit Information and CNN-LSTM Algorithm for Bug Localization

    In Symmetry (SCIE), Vol. 13, No. 3, pp. 406–423, 2021 (Q2, IF: 2.645)

    Journal

  • 양근석, 이병정

    소프트웨어 버그 정정에 SeqGAN 알고리즘을 적용

    인터넷정보학회논문지, Vol. 21, No. 5, pp. 129-137, 2020 (KCI)

    Journal

  • Geunseok Yang, Kyeongsic Min, Jung-won Lee, Byungjeong Lee*

    Applying Topic Modeling and Similarity for Predicting Bug Severity in Cross Projects

    In Journal of KSII Transactions on Internet and Information Systems (TIIS 2019), Vol. 21, No. 9, pp. 616-621, 2019 (SCIE) (Q4, IF: 0.648)

    Journal

  • Geunseok Yang, Tao Zhang, Byungjeong Lee*

    An Emotion Similarity based Severity Prediction of Software Bugs: A Case Study of Open Source Projects

    In IEICE Transactions on Information and Systems (SCIE), Vol. E101, Issue 8, pp. 2015–2026, 2018 (Q4, IF: 0.449)

    Journal

  • Geunseok Yang, Youngjun Jeong, Kyeongsic Min, Jung-won Lee, Byungjeong Lee*

    Applying Genetic Programming with Similar Bug Fix Information to Automatic Fault Repair

    In Symmetry (SCIE), Vol. 10, No. 4, pp. 92–104, 2018 (Q2, IF: 2.143)

    Journal

  • Kwanghue Jin, Amarmend Dashbalbar, Geunseok Yang, Byungjeong Lee*, Jung-Won Lee

    Improving Predictions about Bug Severity by Utilizing Bugs Classified as Normal

    In Journal of Contemporary Engineering Sciences, Vol. 9, No. 19, pp. 933–942, Aug. 2016

    Journal

  • Tao Zhang, Geunseok Yang, Byungjeong Lee*, Alvin T. S. Chan

    Guiding Bug Triage through Developer Analysis in Bug Reports

    In International Journal of Software Engineering and Knowledge Engineering (IJSEKE, SCIE), Vol. 26, No. 3, pp. 405–431, 2016 (Q3, IF: 0.299)

    Journal

  • Tao Zhang, Jiachi Chen, Geunseok Yang, Byungjeong Lee, Xiapu Luo*

    Towards More Accurate Severity Prediction and Fixer Recommendation of Software Bugs

    In Journal of Systems and Software (JSS, SCI), Vol. 117, pp. 166–184, 2016 (Q1, IF: 2.444)

    Journal

  • 양근석, 이병정*

    토픽 모델과 버그 리포트 메타 필드를 이용한 버그 심각도 예측 방법

    정보과학회 컴퓨팅의 실제 논문지 Vol. 21, No. 9, pp. 616-621, 2015 (KCI)

    Journal

  • 양근석, 장도, 이병정*

    토픽 모델과 소셜 네트워크를 이용한 개발자 추천방법

    정보과학회논문지 : 소프트웨어 및 응용 Vol. 41, No. 8, pp. 557-568, 2014 (KCI)

    Journal

  • 양근석, 장도, 이병정*

    버그 정정 관리에 데이터 마이닝 적용

    정보과학회지 Vol. 31, No. 10, pp. 16-22, 2013 (KSCI)

    Journal