… 1 Software defects related to NASA data set … view on machine learning techniques for
software defect prediction[ J]… experimental object and six performance evaluation indicators. The …

… building software module defect prediction models usingFSVM CIL, we balance the datasets
using … Appling two algorithms to two NASA software module datasets CMl and KC3,and …

… A feature selection approach based on a similarity measure for software defect prediction[J]. …
the NASA metrics data program data sets for automated software defect prediction. Int. Conf. …

… Although many machine learning methods have been successfully … to different software
projects in NASA Metrics Data Program[… classification models for software defect prediction: A pro…

… of software defect prediction technologies, and it also categorizes, analyzes and compares
the representatives of these prediction … 耗资1.1 亿美元的NASA 自主交会任务 DART 实验失败. …

… in a timely manner by using software defect prediction techniques. However, the problem of
class … 当前研究人员用于软件缺陷预测的方法主要包括深度学习(Deep Learning, DL),随机森林(…

… Abstract In the process of software defect prediction,the problem of … machine is trained.
Finally,the validity and feasibility of the proposed method are veri⁃ fied by NASA software defect …

… Software defect prediction algorithm for intra-membrane sparrow optimizing … Software
defect prediction using synthetic minority over-sampling technique and extreme learning machine…

… defect prediction,software defect prediction,fault prediction 及… 公共仓库:缺陷库中度量元
及错误信息都可使用(如:NASA,… : The use of machine learning in software defect prediction”. …

… Software defect prediction is an important method in the field … Moreover, the traditional
machine learning techniques used … 使用较多的数据集为Promise数据集和NASA数据集 [3] .然而,2个…