Which Is More Important for Cross-Project Defect Prediction: Instance or Feature?
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7777679/7780175/07780200.pdf?arnumber=7780200
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A novel software defect prediction model using two-phase grey wolf optimisation for feature selection;Cluster Computing;2024-06-08
2. Empirical validation of machine learning techniques for heterogeneous cross-project change prediction and within-project change prediction;Journal of Computational Science;2024-03
3. Empirical validation of feature selection techniques for cross-project defect prediction;International Journal of System Assurance Engineering and Management;2023-07-27
4. Grid Search-Optimized Artificial Neural Network for Heterogeneous Cross-Project Defect Prediction;Proceedings of Data Analytics and Management;2023
5. An Approach to Software Defect Prediction Combining Semantic Features and Code Changes;International Journal of Software Engineering and Knowledge Engineering;2022-08-26
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