Duksan Ryu

According to our database, Duksan Ryu authored at least 31 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MuSRGM: A Genetic Algorithm-Based Dynamic Combinatorial Deep Learning Model for Software Reliability Engineering.

Ning Fu, Duksan Ryu, Suntae Kim

IEICE Trans. Inf. Syst., 2024

Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs.

Taehyoun Kim, Duksan Ryu, Jongmoon Baik

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

Enhancing Software Reliability Growth Modeling: A Comprehensive Analysis of Historical Datasets and Optimal Model Selections.

Taehyoun Kim, Duksan Ryu, Jongmoon Baik

Proceedings of the 24th IEEE International Conference on Software Quality, 2024

2023

An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization.

Sunjae Kwon, Duksan Ryu, Jongmoon Baik

Softw. Qual. J., December, 2023

Which Exceptions Do We Have to Catch in the Python Code for AI Projects?

Mingu Kang, Suntae Kim, Duksan Ryu, Jaehyuk Cho

Int. J. Softw. Eng. Knowl. Eng., March, 2023

Deep Tasks Summarization for Comprehending Mixed Tasks in a Commit.

Taeyoung Kim, Suntae Kim, Duksan Ryu, Jaehyuk Cho

Int. J. Softw. Eng. Knowl. Eng., February, 2023

Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems.

Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik

J. Web Eng., 2023

Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures.

Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik

J. Web Eng., 2023

Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model.

Jiwon Choi, Taeyoung Kim, Duksan Ryu, Jongmoon Baik, Suntae Kim

J. Web Eng., 2023

Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures Through Code Recommendation.

Sunjae Kwon, Sungu Lee, Taehyoun Kim, Duksan Ryu, Jongmoon Baik

Proceedings of the Current Trends in Web Engineering, 2023

QoS-Aware Graph Contrastive Learning for Web Service Recommendation.

Jeongwhan Choi, Duksan Ryu

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

HOTFUZ: Cost-effective higher-order mutation-based fault localization.

Jong-In Jang, Duksan Ryu, Jongmoon Baik

Softw. Test. Verification Reliab., 2022

GAIN-QoS: A Novel QoS Prediction Model for Edge Computing.

Jiwon Choi, Jaewook Lee, Duksan Ryu, Suntae Kim, Jongmoon Baik

J. Web Eng., 2022

Gradle-Autofix: An Automatic Resolution Generator for Gradle Build Error.

Mingu Kang, Taeyoung Kim, Suntae Kim, Duksan Ryu

Int. J. Softw. Eng. Knowl. Eng., 2022

Holistic Parameter Optimization for Software Defect Prediction.

Jaewook Lee, Jiwon Choi, Duksan Ryu, Suntae Kim

IEEE Access, 2022

CodeBERT Based Software Defect Prediction for Edge-Cloud Systems.

Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik

Proceedings of the Current Trends in Web Engineering, 2022

An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems.

Jiwon Choi, Saranya Manikandan, Duksan Ryu, Jongmoon Baik

Proceedings of the Current Trends in Web Engineering, 2022

2021

Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem.

Duksan Ryu, Kwangkyu Lee, Jongmoon Baik

IEEE Trans. Serv. Comput., 2021

Predicting just-in-time software defects to reduce post-release quality costs in the maritime industry.

Jonggu Kang, Duksan Ryu, Jongmoon Baik

Softw. Pract. Exp., 2021

Directed Model Checking for Fast Abstract Reachability Analysis.

Nakwon Lee, Yunho Kim, Moonzoo Kim, Duksan Ryu, Jongmoon Baik

IEEE Access, 2021

Coding™: Development Task Visualization for SW Code Comprehension.

Taeyoung Kim, Suntae Kim, Duksan Ryu

Proceedings of the Working Conference on Software Visualization, 2021

eCPDP: Early Cross-Project Defect Prediction.

Sunjae Kwon, Duksan Ryu, Jongmoon Baik

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning.

Eunseob Kim, Jongmoon Baik, Duksan Ryu

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2017

A transfer cost-sensitive boosting approach for cross-project defect prediction.

Duksan Ryu, Jong-In Jang, Jongmoon Baik

Softw. Qual. J., 2017

2016

Value-cognitive boosting with a support vector machine for cross-project defect prediction.

Duksan Ryu, Okjoo Choi, Jongmoon Baik

Empir. Softw. Eng., 2016

Effective multi-objective naïve Bayes learning for cross-project defect prediction.

Duksan Ryu, Jongmoon Baik

Appl. Soft Comput., 2016

Improving vulnerability prediction accuracy with Secure Coding Standard violation measures.

Joonseok Yang, Duksan Ryu, Jongmoon Baik

Proceedings of the 2016 International Conference on Big Data and Smart Computing, 2016

2015

A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction.

Duksan Ryu, Jong-In Jang, Jongmoon Baik

J. Comput. Sci. Technol., 2015

2014

Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction.

Duksan Ryu, Okjoo Choi, Jongmoon Baik

Proceedings of the 17th IEEE International Conference on Computational Science and Engineering, 2014

2012

Designing an Architecture of SNS Platform by Applying a Product Line Engineering Approach.

Duksan Ryu, Dan Lee, Jongmoon Baik

Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012

An Integrated Software Management Tool for Adopting Software Product Lines.

Kibum Park, Duksan Ryu, Jongmoon Baik

Proceedings of the 2012 IEEE/ACIS 11th International Conference on Computer and Information Science, Shanghai, China, May 30, 2012