Using Relative Complexity Measurement Which from Complex Network Method to Allocate Resources in Complex Software System's Gray-Box Testing

Lingzhong Meng, Minyan Lu, Baiqiao Huang, Xiaojie Xu
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引用次数: 2

Abstract

Software testing costs would be reduced if we could find which classes or models of software are more complex and thus more likely to have defects. This paper defines a method which uses the software complexity measurement from complex network method to allocate resources in complex software system for gray-box testing. It presents the way of mapping the software codes to complex network and some metric's effects in software network, such as degree and degree of ripple. By using these metrics, it defines the complexity measurement to complex software network. The work about C++ complex software system shows how to use this method.
基于复杂网络方法的相对复杂性度量在复杂软件系统灰盒测试中的资源分配
如果我们能够发现哪些软件的类或模型更复杂,从而更有可能有缺陷,那么软件测试的成本就会降低。本文定义了一种利用复杂网络方法中的软件复杂度度量来分配复杂软件系统中的资源进行灰盒测试的方法。介绍了将软件代码映射到复杂网络的方法,以及度量在软件网络中的作用,如波纹度和波纹度。通过使用这些度量,定义了复杂软件网络的复杂性度量。c++复杂软件系统的实例说明了该方法的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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