@article{ART003317108},
author={Okjoo Choi and Won Sun Shin},
title={A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System},
journal={ Journal of Software Forensics},
issn={3092-541X},
year={2026},
volume={22},
number={1},
pages={97-110}
TY - JOUR
AU - Okjoo Choi
AU - Won Sun Shin
TI - A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System
JO - Journal of Software Forensics
PY - 2026
VL - 22
IS - 1
PB - Korea Software Assessment and Valuation Society
SP - 97
EP - 110
SN - 3092-541X
AB - Machine learning (ML) systems often suffer from degradation in prediction accuracy and reliability due to data drift that occurs over time. Conventional approaches primarily focus on restoring performance through model retraining; however, it is essential to recognize that the root cause of drift lies in the data itself. In this study, we propose the Q-DcDM framework, which integrates data requirement–driven quality assessment with drift analysis to proactively manage drift before the model training and inference stages. The proposed framework enables early detection of potential drift in the initial phase of the ML lifecycle, thereby preventing performance degradation. Experimental results on the UCI Wine Quality and CIFAR-10 datasets demonstrate that the proposed approach improves average model performance by 14.8% and 12.3%, respectively, while also significantly reducing the frequency of model retraining.
KW - data quality;quality assessment;drift;drift detection;machine learning system
DO -
UR -
ER -
Okjoo Choi and Won Sun Shin. (2026). A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System. Journal of Software Forensics, 22(1), 97-110.
Okjoo Choi and Won Sun Shin. 2026, "A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System", Journal of Software Forensics, vol.22, no.1 pp.97-110.
Okjoo Choi, Won Sun Shin "A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System" Journal of Software Forensics 22.1 pp.97-110 (2026) : 97.
Okjoo Choi, Won Sun Shin. A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System. 2026; 22(1), 97-110.
Okjoo Choi and Won Sun Shin. "A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System" Journal of Software Forensics 22, no.1 (2026) : 97-110.
Okjoo Choi; Won Sun Shin. A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System. Journal of Software Forensics, 22(1), 97-110.
Okjoo Choi; Won Sun Shin. A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System. Journal of Software Forensics. 2026; 22(1) 97-110.
Okjoo Choi, Won Sun Shin. A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System. 2026; 22(1), 97-110.
Okjoo Choi and Won Sun Shin. "A Data-centric Drift Management Methodology based on Data Quality Assessment in Machine Learning System" Journal of Software Forensics 22, no.1 (2026) : 97-110.
