A pair of coupling metrics for software networks
A pair of coupling metrics for software networks
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DOI：
10.1007/s11424-010-8329-9
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发表时间：
2011-02
影响因子：
2.1
通讯作者：
Huan Li;Bing Li
中科院分区：
文献类型：
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作者：
Huan Li;Bing Li
复杂网络无处不在。一个典型的例子是软件网络。如何度量和控制软件构件间的耦合交互是软件网络中一个重要的研究课题。本文利用图论和线性代数的方法，研究了一对用于评价面向对象系统类间耦合作用的耦合度量。这些度量与现有的大多数度量在三个方面有所不同：考虑一个类依赖于其他类的强度，反映间接耦合，区分各种耦合交互。最广泛使用的耦合度量之一的新措施的实证比较。具体而言，实验的关系，这对度量进行。结果表明，在负相关的情况下，一维耦合度量不能准确反映耦合交互所导致的软件复杂性。
Complex networks are everywhere. A typical example is software network. How to measure and control coupling interactions of software components is a largely explored research problem in software network. In terms of graph theory and linear algebra, this paper investigates a pair of coupling metrics to evaluate coupling interactions between the classes of object-oriented systems. These metrics differ from the majority of existing metrics in three aspects: Taking into account the strength that one class depends on other ones, reflecting indirect coupling, and distinguishing various coupling interaction. An empirical comparison of the novel measures with one of the most widely used coupling metrics is described. Specifically, an experiment about the relationships of this pair metrics is conducted. The result shows that software complexity derived from coupling interaction could not be accurately reflected by one dimension of coupling metric for negative correlation.