Coupling metrics for object-oriented design

R. Harrison, S. Counsell, R. Nithi
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引用次数: 107

Abstract

We describe and evaluate some recently innovated coupling metrics for object-oriented (OO) design. The Coupling Between Objects (CBO) metric of Chidamber and Kemerer (1991) is evaluated empirically using five OO systems, and compared with an alternative OO design metric called SAS, which measures the number of associations between a class and its peers. The NAS metric is directly collectible from design documents such as the Object Model of OMT. Results from all systems studied indicate a strong relationship between CBO and NAS, suggesting that they are not orthogonal. We hypothesised that coupling would be related to understandability, the number of errors and error density. So relationships were found for any of the systems between class understandability and coupling. Only limited evidence was found to support our hypothesis linking increased coupling to increased error density. The work described in this paper is part of the 'Metrics for OO Programming Systems' (MOOPS) project, which aims to evaluate existing OO metrics, and to innovate and evaluate new OO analysis and design metrics, aimed specifically at the early stages of development.
面向对象设计的耦合度量
我们描述并评估了一些最近创新的面向对象(OO)设计的耦合度量。Chidamber和Kemerer(1991)的对象间耦合(CBO)度量是使用五个OO系统进行经验评估的,并与另一种称为SAS的OO设计度量进行比较,SAS度量类与其对等类之间的关联数量。NAS指标可以直接从设计文档(如OMT的对象模型)中收集。所有系统的研究结果表明,CBO和NAS之间存在很强的关系,表明它们不是正交的。我们假设耦合与可理解性、错误数量和错误密度有关。因此,在任何系统中都发现了类可理解性和耦合之间的关系。只有有限的证据被发现支持我们的假设,将增加的耦合与增加的误差密度联系起来。本文中描述的工作是“面向对象编程系统的度量”(MOOPS)项目的一部分,该项目旨在评估现有的面向对象度量,并创新和评估新的面向对象分析和设计度量,特别针对开发的早期阶段。
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