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Author

Yuming Zhou

Observed names: YUMING ZHOU, Yu-Ming ZHOU, Yu-Ming Zhou, Yu-ming Zhou, YuMing Zhou, Zhou Yu-ming, Zhou, Yuming
Observed institutions: Shihezi University, Seagate (United States), Hong Kong Polytechnic University, Anhui University, Guangxi University, Chongqing University, Chinese Academy of Sciences, Harbin Institute of Technology, Huawei Technologies (China), Guangxi Normal University, ShanghaiTech University, Nanjing University of Science and Technology, Wuhan University, Nanjing Xiaozhuang University, PLA Army Engineering University, State Key Laboratory of New Technology of Computer Software, State Key Laboratory of Software Engineering, Southeast University, Nanjing University, Anhui University of Technology, Tsinghua University
ORCID: 0000-0002-4645-2526
Observed ORCID: 0000-0002-4645-2526
OpenAlex ID: A5031391841
A novel ensemble method for classifying imbalanced data
2014 · Zhongbin Sun, Qinbao Song, et al. · Pattern Recognition · 414
Empirical Analysis of Object-Oriented Design Metrics for Predicting High and Low Severity Faults
2006 · Yuming Zhou, Hareton Leung · IEEE Transactions on Software Engineering · 348
Effort-aware just-in-time defect prediction: simple unsupervised models could be better than supervised models
2016 · Yibiao Yang, Yuming Zhou, et al. · ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE) · 234
Predicting object-oriented software maintainability using multivariate adaptive regression splines
2006 · Yuming Zhou, Hareton Leung · Journal of Systems and Software · 227
How Far We Have Progressed in the Journey? An Examination of Cross-Project Defect Prediction
2018 · Yuming Zhou, Yibiao Yang, et al. · ACM Transactions on Software Engineering and Methodology · 195
The impact of continuous integration on other software development practices: A large-scale empirical study
2017 · Yangyang Zhao, Alexander Serebrenik, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 179
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On the ability of complexity metrics to predict fault-prone classes in object-oriented systems
2009 · Yuming Zhou, Baowen Xu, et al. · Journal of Systems and Software · 138
Examining the Potentially Confounding Effect of Class Size on the Associations between Object-Oriented Metrics and Change-Proneness
2009 · Yuming Zhou, H. Leung, et al. · IEEE Transactions on Software Engineering · 131
No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
2024 · Zhijie Liu, Yutian Tang, et al. · IEEE Transactions on Software Engineering · 128
Deep learning-based software engineering: progress, challenges, and opportunities
2024 · Xiangping Chen, Xing Hu, et al. · Science China Information Sciences · 99
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The ability of object-oriented metrics to predict change-proneness: a meta-analysis
2011 · Hongmin Lu, Yuming Zhou, et al. · Empirical Software Engineering · 88
Structural Balance Theory-Based E-Commerce Recommendation over Big Rating Data
2016 · Lianyong Qi, Xiaolong Xu, et al. · IEEE Transactions on Big Data · 75
A Context-Aware Service Evaluation Approach over Big Data for Cloud Applications
2015 · Lianyong Qi, Wanchun Dou, et al. · IEEE Transactions on Cloud Computing · 74
Gear fault diagnosis under variable conditions with intrinsic time-scale decomposition-singular value decomposition and support vector machine
2017 · Zhanqiang Xing, Jianfeng Qu, et al. · Journal of Mechanical Science and Technology · 71
How Do Developers Fix Cross-Project Correlated Bugs? A Case Study on the GitHub Scientific Python Ecosystem
2017 · Wanwangying Ma, Lin Chen, et al. · IEEE/ACM International Conference on Software Engineering (ICSE) · 68
An in-depth study of the potentially confounding effect of class size in fault prediction
2014 · Yuming Zhou, Baowen Xu, et al. · ACM Transactions on Software Engineering and Methodology · 66
Construction of ecological security pattern based on InVEST-Conefor-MCRM: A case study of Xinjiang, China
2024 · Cui Cao, Yutian Luo, et al. · Ecological Indicators · 64
Code Churn: A Neglected Metric in Effort-Aware Just-in-Time Defect Prediction
2017 · Jinping Liu, Yuming Zhou, et al. · Proceedings of the ... ACM-IEEE International Symposium on Empirical Software Engineering and Measurement/International Symposium on Empirical Software Engineering and Measurement · 64
Empirical analysis of network measures for effort-aware fault-proneness prediction
2015 · Wanwangying Ma, Lin Chen, et al. · Information and Software Technology · 61
Are Slice-Based Cohesion Metrics Actually Useful in Effort-Aware Post-Release Fault-Proneness Prediction? An Empirical Study
2014 · Yibiao Yang, Yuming Zhou, et al. · IEEE Transactions on Software Engineering · 61
Training data debugging for the fairness of machine learning software
2022 · Yanhui Li, Linghan Meng, et al. · Proceedings/Proceedings - International Conference on Software Engineering · 60
A novel approach to measuring class cohesion based on dependence analysis
2003 · Zhenqiang Chen, Yuming Zhou, et al. · International Conference on Software Maintenance · 60
Multiple-boundary clustering and prioritization to promote neural network retraining
2020 · Weijun Shen, Yanhui Li, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 59
Predicting the maintainability of open source software using design metrics
2008 · Yuming Zhou, Baowen Xu · Wuhan University Journal of Natural Sciences · 56
Understanding metric-based detectable smells in Python software: A comparative study
2017 · Zhifei Chen, Lin Chen, et al. · Information and Software Technology · 47
Works count: 226
Citation count: 4,882
H-index: 35
I10-index: 94
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