International Journals : SCIE(20)- 2024(2),2023(5), 2022(5), 2021(4), 2017(1), 2016(2), 2015(1)
[SCIE] Hyunsun Hong, Sungu Lee, Duksan Ryu, Jongmoon Baik, "Code Smell-Guided Prompting for LLM-Based Defect Prediction in Ansible Scripts", Journal of Web Engineering (2024) Accepted (IF 0.8)
[SCIE] Funing, Duksan Ryu, and Suntae Kim, "MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering", The IEICE Transactions on Information and Systems (2024): pp 1-11. (IF 0.7)
[SCIE] Kwon, Sunjae, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik, "Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures", Journal of Web Engineering (2023) 22(06), pp 889-912 (IF 0.8)
[SCIE] Choi, Jiwon, Taeyoung Kim, Duksan Ryu, Jongmoon Baik, and Suntae Kim "Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model" Journal of Web Engineering (2023) 22(02), pp 303-326 (IF 0.8)
[SCIE] Kwon, Sunaje, Sungu Lee, Duksan Ryu and Jongmoon Baik. "Pre-trained Model based Software Defect Prediction for Edge-Cloud Systems" Journal of Web Engineering (2023) 22(02), pp 255-278 (IF 0.8)
[SCIE] Kwon, Sunjae, Duksan Ryu, Jongmoon Baik, "An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization", Software Quality Journal (2023) 31, pp 1009-1044 (IF 1.9)
[SCIE] Kang, Mingu, Suntae Kim, Duksan Ryu, Jaehyuk Cho, "Which Exceptions Do We Have to Catch in the Python Code for AI Projects?" International Journal of Software Engineering and Knowledge Engineering (2023) (IF 0.9)
[SCIE] Kim, Taeyoung, Suntae Kim, Duksan Ryu, Jaehyuk Cho, "Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit" International Journal of Software Engineering and Knowledge Engineering (2022): pp 1-23. (IF 0.9)
[Top Cited Article 2022-2023 in STVR][SCIE] Jang, Jong-In, Duksan Ryu, Jongmoon Baik, "HOTFUZ: Cost-effective higher-order mutation-based fault localization." Software: Testing, Verification and Reliability (2022) (IF 1.5)
[SCIE] Lee, Jaewook, Jiwon Choi, Duksan Ryu, Suntae Kim, "Holistic Parameter Optimization for Software Defect Prediction", IEEE ACCESS (2022). (IF 3.9)
[SCIE] Kang, Mingu, Taeyoung Kim, Suntae Kim, Duksan Ryu, "Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error" International Journal of Software Engineering and Knowledge Engineering (2022): Vol 32, No 04:583-603. (IF 0.9)
[SCIE] Choi, Jiwon, Jaewook Lee, Duksan Ryu, Suntae Kim, and Jongmoon Baik. "GAIN-QoS: A Novel QoS Prediction Model for Edge Computing." Journal of Web Engineering (2022): 27-52. (IF 0.8)
[SCIE] Lee, Nakwon, Yunho Kim, Moonzoo Kim, Duksan Ryu, and Jongmoon Baik. "Directed Model Checking for Fast Abstract Reachability Analysis." IEEE Access (2021). (IF 3.9)
[SCIE] Kang, Jonggu, Sunjae Kwon, Duksan Ryu, and Jongmoon Baik. "HASPO: Harmony Search-Based Parameter Optimization for Just-in-Time Software Defect Prediction in Maritime Software." Applied Sciences 11, no. 5 (2021): 2002. (IF 2.7)
[SCIE] Kang, Jonggu, Duksan Ryu, and Jongmoon Baik. "Predicting just‐in‐time software defects to reduce post‐release quality costs in the maritime industry." Software: Practice and Experience 51, no. 4 (2021): 748-771. (IF 3.5)
[50 Outstanding Achievements 2022] [SCIE] Duksan Ryu, Kwangkyu Lee, and Jongmoon Baik. "Location-based web service QoS prediction via preference propagation to address cold start problem." IEEE Transactions on Services Computing 14, no 3 (2021): 736-746 (IF 8.1, 4th rank in SE field)
[SCIE] Duksan Ryu, Jong-In Jang, and Jongmoon Baik. "A transfer cost-sensitive boosting approach for cross-project defect prediction." Software Quality Journal 25, no. 1 (2017): 235-272. (IF 1.9)
[SCIE] Duksan Ryu, and Jongmoon Baik. "Effective multi-objective naïve Bayes learning for cross-project defect prediction." Applied Soft Computing 49 (2016): 1062-1077. (IF 8.7)
[SCIE] Duksan Ryu, Okjoo Choi, and Jongmoon Baik. "Value-cognitive boosting with a support vector machine for cross-project defect prediction." Empirical Software Engineering 21, no. 1 (2016): 43-71. (IF 4.1)
[SCIE] Duksan Ryu, Jong-In Jang, and Jongmoon Baik. "A hybrid instance selection using nearest-neighbor for cross-project defect prediction." Journal of Computer Science and Technology 30, no. 5 (2015): 969-980. (IF 1.9)