【摘要】 文中针对软件度量的数据分析阶段存在大量相关性数据的情况,提出将主成分分析方法引入数据的分析过程。在尽可能多地保留原始数据信息的基础上,使软件度量所涉及的大量相关数据得到降维,筛选出影响被度量对象的主要因素,在降维原始数据的同时使度量的结果更加准确,度量数据的含义更加清晰明确,以达到使整个度量过程更加准确、高效的目的。更多还原

【Abstract】 In order to decrease the dimension of mass correlated dataset during data analysis process of software metrics,in the paper,introduce the principal component analysis(PCA) to this period.On the base of keeping as more as possible of the original features of the dataset,successfully lower the dimension of the raw data,and get the main factor which affect the object that we are measured.In this way,make the meaning of measure data clearer and more accurate,and make the whole metrics process more effective.更多还原