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Duksan Ryu
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2020 – today
- 2024
- [j18]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): 761-771 (2024) - [i1]Jeongwhan Choi, Duksan Ryu:
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. CoRR abs/2401.03162 (2024) - 2023
- [j17]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): 207-229 (2023) - [j16]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): 375-394 (2023) - [j15]Sunjae Kwon, Sungu Lee, Duksan Ryu, Jongmoon Baik:
Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems. J. Web Eng. 22(2): 255-278 (2023) - [j14]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): 303-326 (2023) - [j13]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): 889-912 (2023) - [j12]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): 1009-1044 (2023) - [c11]Jeongwhan Choi, Duksan Ryu:
QoS-Aware Graph Contrastive Learning for Web Service Recommendation. APSEC 2023: 171-180 - [c10]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: 75-83 - 2022
- [j11]Jaewook Lee, Jiwon Choi, Duksan Ryu
, Suntae Kim
:
Holistic Parameter Optimization for Software Defect Prediction. IEEE Access 10: 106781-106797 (2022) - [j10]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): 583-603 (2022) - [j9]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) - [j8]Jong-In Jang
, Duksan Ryu
, Jongmoon Baik:
HOTFUZ: Cost-effective higher-order mutation-based fault localization. Softw. Test. Verification Reliab. 32(8) (2022) - [c9]Sunjae Kwon, Jong-In Jang, Sungu Lee, Duksan Ryu, Jongmoon Baik:
CodeBERT Based Software Defect Prediction for Edge-Cloud Systems. ICWE Workshops 2022: 11-21 - [c8]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: 34-45 - 2021
- [j7]Nakwon Lee
, Yunho Kim, Moonzoo Kim, Duksan Ryu
, Jongmoon Baik
:
Directed Model Checking for Fast Abstract Reachability Analysis. IEEE Access 9: 158738-158750 (2021) - [j6]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): 748-771 (2021) - [j5]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): 736-746 (2021) - [c7]Sunjae Kwon, Duksan Ryu, Jongmoon Baik:
eCPDP: Early Cross-Project Defect Prediction. QRS 2021: 470-481 - [c6]Eunseob Kim, Jongmoon Baik, Duksan Ryu:
Heterogeneous Defect Prediction through Correlation-Based Selection of Multiple Source Projects and Ensemble Learning. QRS 2021: 503-513 - [c5]Taeyoung Kim, Suntae Kim, Duksan Ryu
:
Coding™: Development Task Visualization for SW Code Comprehension. VISSOFT 2021: 23-32
2010 – 2019
- 2017
- [j4]Duksan Ryu
, Jong-In Jang, Jongmoon Baik:
A transfer cost-sensitive boosting approach for cross-project defect prediction. Softw. Qual. J. 25(1): 235-272 (2017) - 2016
- [j3]Duksan Ryu
, Jongmoon Baik:
Effective multi-objective naïve Bayes learning for cross-project defect prediction. Appl. Soft Comput. 49: 1062-1077 (2016) - [j2]Duksan Ryu
, Okjoo Choi, Jongmoon Baik:
Value-cognitive boosting with a support vector machine for cross-project defect prediction. Empir. Softw. Eng. 21(1): 43-71 (2016) - [c4]Joonseok Yang, Duksan Ryu
, Jongmoon Baik:
Improving vulnerability prediction accuracy with Secure Coding Standard violation measures. BigComp 2016: 115-122 - 2015
- [j1]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): 969-980 (2015) - 2014
- [c3]Duksan Ryu
, Okjoo Choi, Jongmoon Baik:
Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction. CSE 2014: 994-999 - 2012
- [c2]Kibum Park, Duksan Ryu
, Jongmoon Baik:
An Integrated Software Management Tool for Adopting Software Product Lines. ACIS-ICIS 2012: 553-558 - [c1]Duksan Ryu
, Dan Lee, Jongmoon Baik:
Designing an Architecture of SNS Platform by Applying a Product Line Engineering Approach. ACIS-ICIS 2012: 559-564
Coauthor Index
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