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机译:一种用于项目内和跨项目缺陷预测的新型班级不平衡学习方法
China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China|Minist Educ Engn Res Ctr Mine Digitalizat Xuzhou 221116 Jiangsu Peoples R China|Zaozhuang Univ Dept Informat Sci & Engn Zaozhuang 277160 Peoples R China;
China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China|Minist Educ Engn Res Ctr Mine Digitalizat Xuzhou 221116 Jiangsu Peoples R China;
Guilin Univ Elect Technol Guangxi Key Lab Trusted Software Guilin 541004 Peoples R China;
Training; Learning systems; Software; Measurement; NASA; Predictive models; Machine learning; Class-imbalance; cross-project; ensemble learning; software defect prediction (SDP); within-project;
机译:针对项目内和跨项目类不平衡问题的基于SDA的改进的缺陷预测框架
机译:基于改进转移Naive Bayes算法的项目内和跨项目软件缺陷预测
机译:基于去噪自动化器和卷积神经网络的项目内和跨项目的跨项目立交缺陷预测
机译:跨项目和项目内部半监督软件缺陷预测问题使用统一解决方案研究
机译:交叉项目缺陷预测的软件度量聚类方法
机译:开发可解释的基于机器学习的个性化痴呆风险预测模型:具有集合学习算法的转移学习方法
机译:Altra:通过主动学习和TradaBoost进行跨项目软件缺陷预测