International Conferences : Total(21) - 2025(6), 2024(4), 2023(2),2022(2), 2021(3), 2016(1), 2014(1), 2012(2)
Faisal Mohammad and Duksan Ryu, "Multimodal Learning based Just-In-Time Software Defect Prediction in Autonomous Driving Systems", BigComp 2025 (Accepted)
Eunjeong Ju, Jeonghwa Lee and Duksan Ryu, "DefectGRANDE: A Hybrid Data-Resampling and Gradient-Based Model for Addressing Class Imbalance in Software Defect Prediction", BigComp 2025 (Accepted)
Jeonghwa Lee, Eunjeong Ju and Duksan Ryu, "Code Summarization Using Mamba-SoTaNa", BigComp 2025 (Accepted)
Shivani Jadhav, Saranya Manikandan and Duksan Ryu, "Enhancing Software Defect Prediction using The AutoInt Model", BigComp 2025 (Accepted)
Sriman Mohapatra, Eunjeong Ju, Jeonghwa Lee and Duksan Ryu, "Enhancing Software Defect Prediction:Integrating SAINT with Ant Colony Optimization and Explainable AI", BigComp 2025 (Accepted)
Saranya Manikandan, Shivani Jadhav, Duksan Ryu and Sungsoo Ahn, "Examining the Performance of Mamba Tab for Software Defect Prediction", BigComp 2025 (Accepted)
Sungsoo Ahn, Duksan Ryu, "Modeling Manuscript States and Events in a State Machine Diagram ", The 16th International Conference on Computer Science and its Applications (CSA 2024) (Accepted)
Taehyoun Kim, Duksan Ryu, Jongmoon Baik, "Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs ", Software Quality, Reliability, and Security (QRS 2024)
Taehyoun Kim, Duksan Ryu, Jongmoon Baik, "Enhancing Software Reliability Growth Modeling: A Comprehensive Analysis of Historical Datasets and Optimal Model Selections ", Software Quality, Reliability, and Security (QRS 2024)
Hyunsun Hong, Sungu Lee, Duksan Ryu, Jongmoon Baik, "Enhancing Software Defect Prediction in Ansible Scripts using Code-Smell-Guided Prompting with Large Language Models in Edge-Cloud Infrastructures", The 4th International Workshop on Big Data-driven Edge Cloud Services (BECS), 2024 (Invited to SCIE journal)
Jeongwhan Choi, Duksan Ryu, "QoS-Aware Graph Contrastive Learning for Web Service Recommendation", 30th Asia-Pacific Software Engineering Conference (APSEC 2023)
Kwon, Sunjae, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik, "Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures through Code Recommendation", The 3rd International Workshop on Big Data-driven Edge Cloud Services (BECS), 2023 (Invited to SCIE journal)
Choi, Jiwon, Saranya Manikandan, Duksan Ryu, Jongmoon Baik, "An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems", The 2nd International Workshop on Big Data-driven Edge Cloud Services (BECS), 2022 (Invited to SCIE journal)
Kwon, Sunjae, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik, "CodeBERT Based Software Defect Prediction for Edge-Cloud Systems", The 2nd International Workshop on Big Data-driven Edge Cloud Services (BECS), 2022 (Invited to SCIE journal)
Kwon, Sunjae, Duksan Ryu, Jongmoon Baik, "eCPDP : Early Cross-Project Defect Prediction" Software Quality, Reliability, and Security (QRS), 2021
Kim, Eunseob, Jongmoon Baik, Duksan Ryu, "Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning" Software Quality, Reliability, and Security (QRS), 2021
Kim, Taeyoung, Suntae Kim, and Duksan Ryu. "Coding™: Development Task Visualization for SW Code Comprehension." In 2021 Working Conference on Software Visualization (VISSOFT), pp. 23-32. IEEE, 2021.
Yang, Joonseok, Duksan Ryu, and Jongmoon Baik. "Improving vulnerability prediction accuracy with secure coding standard violation measures." In 2016 International Conference on Big Data and Smart Computing (BigComp), pp. 115-122. IEEE, 2016.
Duksan Ryu, Okjoo Choi, and Jongmoon Baik. "Improving prediction robustness of VAB-SVM for cross-project defect prediction." In 2014 IEEE 17th International Conference on Computational Science and Engineering, pp. 994-999. IEEE, 2014.
Duksan Ryu, Dan Lee, and Jongmoon Baik. "Designing an architecture of SNS platform by applying a product line engineering approach." In 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, pp. 559-564. IEEE, 2012.
Park, Kibum, Duksan Ryu, and Jongmoon Baik. "An integrated software management tool for adopting software product lines." In 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, pp. 553-558. IEEE, 2012.