主成分分析法在软件静态测试中的研究与应用

Research and Application of Principal Component Analysis to Software Static Testing

随着信息化程度的不断提高以及人们对软件需求的扩大,软件的复杂性也已经远远地超出了以前的水平,大大地增加了软件设计和开发的难度。以软件复杂性为出发点,介绍了主成分分析法(PCA)的基本思想、原理和主要作用,分析了主成分分析法在软件静态测试中的应用价值与可行性,最后通过一个具体的软件进行了详细的算例分析,获得了较好的效果,帮助软件开发人员和测试人员在静态分析中识别复杂性和风险性比较高的函数和模块起到了很好的作用。

As the degree of informationization is enhancing continually and people need more and more demands,software also becomes more complicated than before,thus,it consumedly increases the difficulty in the design and development of software.Firstly,it introduces the basic idea,principle and function of principal component analysis method,and then analyses application value and feasibility of principal component analysis method to software static testing.Finally,it performs a detailed case in terms of the method,gets the good result,the method helps the developers and testers achieve some ability to identify some function and module with high complexity and risk in the software static analysis.