… 包括defect prediction,software defect prediction,fault prediction 和… : The use of machine
learning in software defect prediction. … Data quality: Some comments on the NASA software defect …

… a cross-project software defect prediction method based on active learning was proposed.
Firstlyꎬ thetargetprojectwasfilteredandlabeledusingtheactivelearningmethod. Secondlyꎬ …

… discussed; then the analysis lists the current software defect prediction … Data quality: some
comments on the nasa software defect … Performance analysis of feature selection methods in …

… defect prediction models use naive or traditional machine … 例如,在PROMISE 库中的大部分
NASA 数据集有37 个度量 元[5],… Survey of static software defect prediction. Ruan Jian Xue …

… 本文主要研究对NASA MDP 数据集的优化. NASAMDP数据集… review of machine learning
techniques for software fault … Benchmarking classification models for software defect prediction:a …

… Software defect prediction constructs a software defect prediction model based on the mining
of software … , we choose real-world software projects, such as Eclipse and NASA. We first …

… Heterogeneous cross-company defect prediction by unified metric representation and
CCA-based transfer learning. In: Proceedings of the 2015 10th joint meeting on foundations of …

… Tosun等人[9]利用过滤技术,成功利用NASA系统… software engineering from Shanghai Jiao
Tong University in 2015. Her research interests include software defect prediction and software …

… 基于容量增量分析的锂离子电池特征提取方法 本文使用美国航空航天局NASA 公开的锂离 子
电池实验数据集进行实验. NASA 实验过程中, 所有电池均采用恒流–恒压模式(Constant current– …