计算机技术与发展2017，Vol.27Issue(12)：20-22,27,4.DOI:10.3969/j.issn.1673-629X.2017.12.005
基于改进MDS的软件缺陷预测
Software Defect Prediction Based on Improved MDS
摘要
Abstract
With the development of computer technology,computer software products have brought many convenience to individuals and businesses,but many software may have a variety of defects. In order to find and solve them,researchers have applied machine learning and other methods in software default prediction,but they need to be improved on data preprocessing. In previous studies,the researchers used Multi-Dimensional Scaling ( MDS) to reduce the dimensionality of data samples. But the methods about how to use and improve MDS are few. A method of Threshold Correlation on MDS (TC MDS) is proposed in this paper. Based on MDS,Symmetrical Uncer-tainty ( SU) is used to extract the features with high discriminatory and threshold correlation to remove the redundancy. The method makes the data with high discriminatory,removing of redundancy,improvement of forecasting efficiency. The results on NASA database show it has very good defect prediction effect.关键词
多维尺度分析/对称不确定性/阈值相关性/软件缺陷预测Key words
MDS/symmetrical uncertainty/threshold correlation/software defect prediction分类
信息技术与安全科学引用本文复制引用
史雪静,吴飞,荆晓远..基于改进MDS的软件缺陷预测[J].计算机技术与发展,2017,27(12):20-22,27,4.基金项目
国家自然科学基金资助项目(61272273) （61272273）
