Z
Zhi-Wu Zhang
Researcher at Nanjing University of Posts and Telecommunications
Publications - 5
Citations - 409
Zhi-Wu Zhang is an academic researcher from Nanjing University of Posts and Telecommunications. The author has contributed to research in topics: Software bug & Sparse approximation. The author has an hindex of 5, co-authored 5 publications receiving 300 citations.
Papers
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Proceedings ArticleDOI
Dictionary learning based software defect prediction
TL;DR: A cost-sensitive discriminative dictionary learning (CDDL) approach for software defect classification and prediction, which outperforms several representative state-of-the-art defect prediction methods.
Journal ArticleDOI
Multiple kernel ensemble learning for software defect prediction
TL;DR: A multiple kernel ensemble learning (MKEL) approach for software defect classification and prediction is proposed, and a new sample weight vector updating strategy is designed to reduce the cost of risk caused by misclassifying defective modules as non-defective ones.
Journal ArticleDOI
Label propagation based semi-supervised learning for software defect prediction
TL;DR: Experimental results show that the NSGLP outperforms several representative state-of-the-art semi-supervised software defects prediction methods, and it can fully exploit the characteristics of static code metrics and improve the generalization capability of the software defect prediction model.
Proceedings ArticleDOI
Software defect prediction based on collaborative representation classification
TL;DR: The CRC technique is introduced in this paper and a CRC based software defect prediction (CSDP) approach is proposed, which is designed to classify whether the query software modules are defective or defective-free.
Journal ArticleDOI
Non-negative sparse-based SemiBoost for software defect prediction
TL;DR: Experimental results show that non‐negative sparse‐based SemiBoost learning outperforms several representative state‐of‐the‐art semi‐supervised software defect prediction methods.