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A framework for defining coupling metrics

机译:定义耦合指标的框架

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摘要

Many metrics have been proposed to measure coupling the degree of association between modules in a system. They have often been described in different ways, hindering comparison and research. Their definitions are often incomplete regarding language features in some languages, meaning that different tool developers may implement the same metric differently. This complicates comparing results from studies that use different tools. This paper therefore aims to define coupling metrics consistently and unambiguously. The paper describes a model of coupling that uses the reification of the concept of dependency as its fundamental unit. Based on this model, it defines a framework for defining coupling metrics. It shows how to define several well-known coupling metrics in the framework, and how defining different metrics based on the same model facilitates direct comparisons. It discusses how the framework resolves issues due to incomplete metric definitions, such as different language features. This formal framework is sufficiently simple that it can be implemented in such a way as to provide multiple metrics. (C) 2018 Elsevier By. All rights reserved.
机译:已经提出了许多度量来度量系统中模块之间的关联程度的耦合。通常用不同的方式描述它们,从而妨碍了比较和研究。关于某些语言的语言功能,它们的定义通常不完整,这意味着不同的工具开发人员可能会以不同的方式实现相同的指标。这使得比较使用不同工具的研究结果变得复杂。因此,本文旨在始终如一地定义耦合度量。本文描述了一种耦合模型,该模型使用依赖概念的改进作为其基本单元。基于此模型,它定义了用于定义耦合度量的框架。它显示了如何在框架中定义几个众所周知的耦合度量,以及如何基于同一模型定义不同的度量有助于直接比较。它讨论了框架如何解决由于度量标准定义不完整(例如不同的语言功能)而导致的问题。这个正式框架足够简单,可以以提供多个度量的方式来实施。 (C)2018爱思唯尔版权所有。

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