Browse "School of Computing(전산학부)" by Author Ryu, Duksan
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A Hybrid Instance Selection Using Nearest-Neighbor for Cross-Project Defect Prediction Ryu, Duksan; Jang, Jong-In; Baik, Jongmoon, JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, v.30, no.5, pp.969 - +, 2015-09 |
| A transfer cost-sensitive boosting approach for cross-project defect prediction Ryu, Duksan; Jang, Jong-In; Baik, Jongmoon, SOFTWARE QUALITY JOURNAL, v.25, no.1, pp.235 - 272, 2017-03 |
| (A) hybrid instance selection using nearest-neighbor framework for cross-project defect prediction with consideration of class imbalance = 클래스 불균형을 고려한 교차 프로젝트 결함 예측용 근접 기반 하이브리드 인스탄스 선택 프레임워크link Ryu, Duksan; 류덕산; et al, 한국과학기술원, 2016 |
| An effective approach to improve the performance of eCPDP (early cross-project defect prediction) via data-transformation and parameter optimization Kwon, Sunjae; Ryu, Duksan; Baik, Jongmoon, SOFTWARE QUALITY JOURNAL, v.31, no.4, pp.1009 - 1044, 2023-12 |
| An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-Driving Software Systems Choi, Jiwon; Manikandan, Saranya; Ryu, Duksan; Baik, Jongmoon, 2nd International Workshop on Big data driven Edge Cloud Services (BECS 2022), pp.34 - 45, International Society for Web Engineering, 2022-07-08 |
| An Integrated Software Management Tool for Adopting Software Product Lines Park, Kibum; Ryu, Duksan; Baik, Jongmoon, 11th IEEE/ACIS International Conference on Computer and Information Science, IEEE, 2012-05 |
| CodeBERT Based Software Defect Prediction for Edge-Cloud Systems KWON, SUNJAE; Jang, Jong-In; Lee, Sungu; Ryu, Duksan; Baik, Jongmoon, 2nd International Workshop on Big data driven Edge Cloud Services (BECS 2022), pp.11 - 21, International Society for Web Engineering, 2022-07-08 |
| Designing an Architecture of SNS Platform by Applying a Product Line Engineering Approach Ryu, Duksan; Lee, Dan; Baik, Jongmoon, 11th IEEE/ACIS International Conference on Computer and Information Science, IEEE, 2012-05 |
| Directed Model Checking for Fast Abstract Reachability Analysis Lee, NakWon; Kim, Yunho; Kim, Moonzoo; Ryu, Duksan; Baik, Jongmoon, IEEE ACCESS, v.9, pp.158738 - 158750, 2021-11 |
| eCPDP : Early Cross-Project Defect Prediction Kwon, Sunjae; Ryu, Duksan; Baik, Jongmoon, 21st IEEE International Conference on Software Quality, Reliability and Security (QRS), pp.470 - 481, IEEE Reliability Society, 2021-12-07 |
| Effective multi-objective naive Bayes learning for cross-project defect prediction Ryu, Duksan; Baik, Jong-Moon, APPLIED SOFT COMPUTING, v.49, pp.1062 - 1077, 2016-12 |
| Exploring LLM-based Automated Repairing of Ansible Script in Edge-Cloud Infrastructures KWON, SUNJAE; Lee, Sungu; Kim, Taehyoun; Ryu, Duksan; Baik, Jongmoon, JOURNAL OF WEB ENGINEERING, v.22, no.6, pp.889 - 912, 2023 |
| Exploring the Feasibility of ChatGPT for Improving the Quality of Ansible Scripts in Edge-Cloud Infrastructures through Code Recommendation Kwon, Sunjae; Lee, Sungu; Kim, Taehyoun; Ryu, Duksan; Baik, Jongmoon, 3rd International Workshop on Big data driven Edge Cloud Services (BECS 2023), International Society for Web Engineering, 2023-06-06 |
| GAIN-QoS: A Novel QoS Prediction Model for Edge Computing Choi, Jiwon; Lee, Jaewook; Ryu, Duksan; Kim, Suntae; Baik, Jongmoon, JOURNAL OF WEB ENGINEERING, v.21, no.1, pp.27 - 51, 2022-01 |
| HASPO: Harmony Search-Based Parameter Optimization for Just-in-Time Software Defect Prediction in Maritime Software Kang, Jonggu; Kwon, Sunjae; Ryu, Duksan; Baik, Jongmoon, APPLIED SCIENCES-BASEL, v.11, no.5, 2021-03 |
| Heterogeneous Defect Prediction through Correlation-based Selection of Multiple Source Projects and Ensemble Learning Kim, Eunseob; Baik, Jongmoon; Ryu, Duksan, 21st IEEE International Conference on Software Quality, Reliability and Security (QRS), pp.503 - 513, IEEE Reliability Society, 2021-12-07 |
| HOTFUZ: Cost-effective higher-order mutation-based fault localization Jang, Jong-In; Ryu, Duksan; Baik, Jongmoon, SOFTWARE TESTING VERIFICATION & RELIABILITY, v.32, no.8, 2022-12 |
| Improving Prediction Robustness of VAB-SVM for Cross-Project Defect Prediction Ryu, Duksan; Baik, Jong-Moon; Choi, Okjoo, 17th IEEE International Conference on Computational Science and Engineering, CSE 2014 - Jointly with 13th IEEE International Conference on Ubiquitous Computing and Communications, pp.994 - 999, IEEE, 2014-12-20 |
| Improving Vulnerability Prediction Accuracy with Secure Coding Standard Violation Measures Yang, Joonseok; Ryu, Duksan; Baik, Jong Moon, International Conference on Big Data and Smart Computing, BigComp 2016, pp.115 - 122, Institute of Electrical and Electronics Engineers Inc., 2016-01-20 |
| Just-in-Time Defect Prediction for Self-driving Software via a Deep Learning Model Choi, Jiwon; Kim, Taeyoung; Ryu, Duksan; Baik, Jongmoon; Kim, Suntae, JOURNAL OF WEB ENGINEERING, v.22, no.2, pp.303 - 326, 2023 |
| Location-Based Web Service QoS Prediction via Preference Propagation to Address Cold Start Problem Ryu, Duksan; Lee, KwangKyu; Baik, Jongmoon, IEEE TRANSACTIONS ON SERVICES COMPUTING, v.14, no.3, pp.736 - 746, 2021-05 |
| Pre-trained Model-based Software Defect Prediction for Edge-cloud Systems Kwon, Sunjae; Lee, Sungu; Ryu, Duksan; Baik, Jongmoon, JOURNAL OF WEB ENGINEERING, v.22, no.2, pp.255 - 278, 2023 |
| Predicting just-in-time software defects to reduce post-release quality costs in the maritime industry Kang, Jonggu; Ryu, Duksan; Baik, Jongmoon, SOFTWARE-PRACTICE & EXPERIENCE, v.51, no.4, pp.748 - 771, 2021-04 |
| Value-cognitive boosting with a support vector machine for cross-project defect prediction Ryu, Duksan; Choi, Okjoo; Baik, Jong-Moon, EMPIRICAL SOFTWARE ENGINEERING, v.21, no.1, pp.43 - 71, 2016-02 |
| 교차 프로젝트 결함 예측을 위한 Ansible의 metrics 중요성 분석 Lee, Sungu; Kwon, Sunjae; Ryu, Duksan; Baik, Jongmoon, 2022 한국소프트웨어종합학술대회, 한국정보과학회, 2022-12-21 |
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