Duksan Ryu

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 26

Top Topics

Defect Prediction

Parameter Optimization

Support Vector Machine

Top Venues

Int. J. Softw. Eng. Knowl. Eng.

Softw. Qual. J.

Publications

Ning Fu, Duksan Ryu, Suntae Kim
MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering. IEICE Trans. Inf. Syst. 107 (6) (2024)
Jeongwhan Choi, Duksan Ryu
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. CoRR (2024)
Taeyoung Kim, Suntae Kim, Duksan Ryu, Jaehyuk Cho
Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit. Int. J. Softw. Eng. Knowl. Eng. 33 (2) (2023)
Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik
Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems. J. Web Eng. 22 (2) (2023)
Sunjae Kwon, Duksan Ryu, Jongmoon Baik
An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization. Softw. Qual. J. 31 (4) (2023)
Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik
Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures. J. Web Eng. 22 (6) (2023)
Mingu Kang, Suntae Kim, Duksan Ryu, Jaehyuk Cho
Which Exceptions Do We Have to Catch in the Python Code for AI Projects? Int. J. Softw. Eng. Knowl. Eng. 33 (3) (2023)
Jeongwhan Choi, Duksan Ryu
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC (2023)
Sunjae Kwon, 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. ICWE Workshops (2023)
Jiwon Choi, Taeyoung Kim, Duksan Ryu, Jongmoon Baik, Suntae Kim
Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model. J. Web Eng. 22 (2) (2023)
Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim
Holistic Parameter Optimization for Software Defect Prediction. IEEE Access 10 (2022)
Jong-In Jang, Duksan Ryu, Jongmoon Baik
HOTFUZ: Cost-effective higher-order mutation-based fault localization. Softw. Test. Verification Reliab. 32 (8) (2022)
Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik
CodeBERT Based Software Defect Prediction for Edge-Cloud Systems. ICWE Workshops (2022)
Jiwon Choi, Saranya Manikandan, Duksan Ryu, Jongmoon Baik
An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems. ICWE Workshops (2022)
Mingu Kang, Taeyoung Kim, Suntae Kim, Duksan Ryu
Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error. Int. J. Softw. Eng. Knowl. Eng. 32 (4) (2022)
Jiwon Choi, Jaewook Lee, Duksan Ryu, Suntae Kim, Jongmoon Baik
GAIN-QoS: A Novel QoS Prediction Model for Edge Computing. J. Web Eng. 21 (1) (2022)
Nakwon Lee, Yunho Kim, Moonzoo Kim, Duksan Ryu, Jongmoon Baik
Directed Model Checking for Fast Abstract Reachability Analysis. IEEE Access 9 (2021)
Sunjae Kwon, Duksan Ryu, Jongmoon Baik
eCPDP: Early Cross-Project Defect Prediction. QRS (2021)
Taeyoung Kim, Suntae Kim, Duksan Ryu
Coding™: Development Task Visualization for SW Code Comprehension. VISSOFT (2021)
Eunseob Kim, Jongmoon Baik, Duksan Ryu
Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning. QRS (2021)
Duksan Ryu, Kwangkyu Lee, Jongmoon Baik
Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem. IEEE Trans. Serv. Comput. 14 (3) (2021)
Jonggu Kang, Duksan Ryu, Jongmoon Baik
Predicting just-in-time software defects to reduce post-release quality costs in the maritime industry. Softw. Pract. Exp. 51 (4) (2021)
Duksan Ryu, Jong-In Jang, Jongmoon Baik
A transfer cost-sensitive boosting approach for cross-project defect prediction. Softw. Qual. J. 25 (1) (2017)
Duksan Ryu, Jongmoon Baik
Effective multi-objective naïve Bayes learning for cross-project defect prediction. Appl. Soft Comput. 49 (2016)
Joonseok Yang, Duksan Ryu, Jongmoon Baik
Improving vulnerability prediction accuracy with Secure Coding Standard violation measures. BigComp (2016)
Duksan Ryu, Okjoo Choi, Jongmoon Baik
Value-cognitive boosting with a support vector machine for cross-project defect prediction. Empir. Softw. Eng. 21 (1) (2016)
Duksan Ryu, Jong-In Jang, Jongmoon Baik
A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction. J. Comput. Sci. Technol. 30 (5) (2015)
Duksan Ryu, Okjoo Choi, Jongmoon Baik
Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction. CSE (2014)
Kibum Park, Duksan Ryu, Jongmoon Baik
An Integrated Software Management Tool for Adopting Software Product Lines. ACIS-ICIS (2012)
Duksan Ryu, Dan Lee, Jongmoon Baik
Designing an Architecture of SNS Platform by Applying a Product Line Engineering Approach. ACIS-ICIS (2012)