Duksan Ryu - RankMe

45 papers B 1C 5Journal 25Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Code Smell-guided Prompting for LLM-based Defect Prediction in Ansible Scripts. J. Web Eng. Hyunsun Hong, Sungu Lee, Duksan Ryu, Jongmoon Baik
2025	—	`conf`	Code Summarization Using Mamba-SoTaNa. BigComp Jeonghwa Lee, Eunjeong Ju, Duksan Ryu
2025	J	`jnl`	Deep Synthetic Cross-Project Approaches for Software Reliability Growth Modeling. CoRR Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2025	—	`conf`	DefectGRANDE: Hybrid Approach for Class Imbalance in Software Defect Prediction. BigComp Eunjeong Ju, Jeonghwa Lee, Duksan Ryu
2025	—	`conf`	Enhancing Software Defect Prediction: Integrating SAINT with Ant Colony Optimization and Explainable AI. BigComp Sriman Mohapatra, Eunjeong Ju, Jeonghwa Lee, Duksan Ryu
2025	—	`conf`	Enhancing the Software Defect Prediction using AutoInt. BigComp Shivani Jadhav, Saranya Manikandan, Duksan Ryu
2025	—	`conf`	Examining the Performance of Mamba Tab for Software Defect Prediction. BigComp Saranya Manikandan, Shivani Jadhav, Duksan Ryu, Sungsoo Ahn
2025	J	`jnl`	Improving LLM-Based Fault Localization with External Memory and Project Context. CoRR Inseok Yeo, Duksan Ryu, Jongmoon Baik
2025	—	`conf`	Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems. BigComp Faisal Mohammad, Duksan Ryu
2025	J	`jnl`	Multimodal Learning for Just-In-Time Software Defect Prediction in Autonomous Driving Systems. CoRR Faisal Mohammad, Duksan Ryu
2025	J	`jnl`	Probing Pre-trained Language Models on Code Changes: Insights from ReDef, a High-Confidence Just-in-Time Defect Prediction Dataset. CoRR Doha Nam, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2025	J	`jnl`	Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers. CoRR Faisal Mohammad, Duksan Ryu
2024	C	`conf`	Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs. QRS Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2024	—	`conf`	Enhancing Software Defect Prediction in Ansible Scripts Using Code-Smell-Guided Prompting with Large Language Models in Edge-Cloud Infrastructures. ICWE Workshops Hyunsun Hong, Sungu Lee, Duksan Ryu, Jongmoon Baik
2024	C	`conf`	Enhancing Software Reliability Growth Modeling: A Comprehensive Analysis of Historical Datasets and Optimal Model Selections. QRS Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2024	J	`jnl`	MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering. IEICE Trans. Inf. Syst. Ning Fu, Duksan Ryu, Suntae Kim
2024	J	`jnl`	QoS-Aware Graph Contrastive Learning for Web Service Recommendation. CoRR Jeongwhan Choi, Duksan Ryu
2023	J	`jnl`	An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization. Softw. Qual. J. Sunjae Kwon, Duksan Ryu, Jongmoon Baik
2023	J	`jnl`	Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit. Int. J. Softw. Eng. Knowl. Eng. TaeYoung Kim, Suntae Kim, Duksan Ryu, Jaehyuk Cho
2023	J	`jnl`	Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures. J. Web Eng. Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2023	—	`conf`	Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation. ICWE Workshops Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
2023	J	`jnl`	Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model. J. Web Eng. Jiwon Choi, TaeYoung Kim, Duksan Ryu, Jongmoon Baik, Suntae Kim
2023	J	`jnl`	Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems. J. Web Eng. Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik
2023	C	`conf`	QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC Jeongwhan Choi, Duksan Ryu
2023	J	`jnl`	Which Exceptions Do We Have to Catch in the Python Code for AI Projects? Int. J. Softw. Eng. Knowl. Eng. Mingu Kang, Suntae Kim, Duksan Ryu, Jaehyuk Cho
2022	—	`conf`	An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems. ICWE Workshops Jiwon Choi, Saranya Manikandan, Duksan Ryu, Jongmoon Baik
2022	—	`conf`	CodeBERT Based Software Defect Prediction for Edge-Cloud Systems. ICWE Workshops Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik
2022	J	`jnl`	GAIN-QoS: A Novel QoS Prediction Model for Edge Computing. J. Web Eng. Jiwon Choi, Jaewook Lee, Duksan Ryu, Suntae Kim, Jongmoon Baik
2022	J	`jnl`	Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error. Int. J. Softw. Eng. Knowl. Eng. Mingu Kang, TaeYoung Kim, Suntae Kim, Duksan Ryu
2022	J	`jnl`	HOTFUZ: Cost-effective higher-order mutation-based fault localization. Softw. Test. Verification Reliab. Jong-In Jang, Duksan Ryu, Jongmoon Baik
2022	J	`jnl`	Holistic Parameter Optimization for Software Defect Prediction. IEEE Access Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim
2021	B	`conf`	Coding™: Development Task Visualization for SW Code Comprehension. VISSOFT TaeYoung Kim, Suntae Kim, Duksan Ryu
2021	J	`jnl`	Directed Model Checking for Fast Abstract Reachability Analysis. IEEE Access Nakwon Lee, Yunho Kim, Moonzoo Kim, Duksan Ryu, Jongmoon Baik
2021	C	`conf`	Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning. QRS Eunseob Kim, Jongmoon Baik, Duksan Ryu
2021	J	`jnl`	Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem. IEEE Trans. Serv. Comput. Duksan Ryu, Kwangkyu Lee, Jongmoon Baik
2021	J	`jnl`	Predicting just-in-time software defects to reduce post-release quality costs in the maritime industry. Softw. Pract. Exp. Jonggu Kang, Duksan Ryu, Jongmoon Baik
2021	C	`conf`	eCPDP: Early Cross-Project Defect Prediction. QRS Sunjae Kwon, Duksan Ryu, Jongmoon Baik
2017	J	`jnl`	A transfer cost-sensitive boosting approach for cross-project defect prediction. Softw. Qual. J. Duksan Ryu, Jong-In Jang, Jongmoon Baik
2016	J	`jnl`	Effective multi-objective naïve Bayes learning for cross-project defect prediction. Appl. Soft Comput. Duksan Ryu, Jongmoon Baik
2016	—	`conf`	Improving vulnerability prediction accuracy with Secure Coding Standard violation measures. BigComp Joonseok Yang, Duksan Ryu, Jongmoon Baik
2016	J	`jnl`	Value-cognitive boosting with a support vector machine for cross-project defect prediction. Empir. Softw. Eng. Duksan Ryu, Okjoo Choi, Jongmoon Baik
2015	J	`jnl`	A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction. J. Comput. Sci. Technol. Duksan Ryu, Jong-In Jang, Jongmoon Baik
2014	—	`conf`	Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction. CSE Duksan Ryu, Okjoo Choi, Jongmoon Baik
2012	—	`conf`	An Integrated Software Management Tool for Adopting Software Product Lines. ACIS-ICIS Kibum Park, Duksan Ryu, Jongmoon Baik
2012	—	`conf`	Designing an Architecture of SNS Platform by Applying a Product Line Engineering Approach. ACIS-ICIS Duksan Ryu, Dan Lee, Jongmoon Baik