基于依赖分析的类内聚度量新方法

Zhenqiang Chen, Yuming Zhou, Baowen Xu, Jianjun Zhao, Hongji Yang
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引用次数: 78

摘要

类是面向对象软件的基本模块,由属性和方法组成。因此,在OO环境中,内聚主要关注类的属性和方法的紧密程度。本文在依赖分析的基础上讨论了类的属性与属性、属性与方法、方法与方法之间的关系。然后讨论这些关系的性质。根据这些性质,本文提出了一种新的类内聚度量方法。我们的方法克服了以前类内聚度量的局限性,它们只考虑类中三个关系中的一个或两个。我们还证明了这个测度满足一个好的测度所应具备的性质。
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A novel approach to measuring class cohesion based on dependence analysis
Classes are the basic modules in object-oriented (OO) software, which consist of attributes and methods. Thus, in an OO environment, cohesion mainly concerns how tight the attributes and methods of classes are. This paper discusses the relationships between attributes and attributes, attributes and methods, and methods and methods of a class based on dependence analysis. Then we discuss the properties of these relationships. According to these properties, this paper proposes a novel approach to measuring class cohesion. Our approach overcomes the limitations of previous class cohesion measures, which consider only one or two of the three relationships in a class. We also prove that this measure satisfies the properties that a good measurement should have.
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