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A comparison and evaluation of variants in the coupling between objects metric

机译:对象之间耦合的变体的比较和评估度量

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摘要

The Coupling Between Objects metric (OBO) is a widely-used metric but, in practice, ambiguities in its correct implementation have led to different values being computed by different metric tools and studies. CBO has often been shown to correlate with defect occurrence in software systems, but the use of different calculations is commonly overlooked. This paper investigates the varying interpretations of CBO used by those metrics tools and researchers and defines a set of metrics representing the different computational approaches used. These metrics are calculated for a large-scale Java system and logistic regression used to correlate them with defect data obtained by analysing the system's version tracking records. The different variations of CBO are shown to have significantly different correlations to defects. Regarding results, a clear binary divide was found between CBO values which, on the one hand, predicted a defect and, on the other, those that did not. The results, therefore, show that a clarification or unambiguous redefinition of CBO is both desirable and essential for a general consensus on its use. Moreover, applications of the metric must pay close attention to the actual method of calculation being used and, conclusions and comparisons made as a result. Crown Copyright (C) 2019 Published by Elsevier Inc. All rights reserved.
机译:对象之间的耦合度量(OBO)是一种广泛使用的度量,但是实际上,其正确实现方式的歧义导致使用不同的度量工具和研究计算出不同的值。通常已证明CBO与软件系统中的缺陷发生相关,但是通常会忽略使用不同的计算。本文研究了那些度量工具和研究人员对CBO的不同解释,并定义了一组代表所使用的不同计算方法的度量。这些指标是针对大型Java系统计算的,逻辑回归用于将它们与通过分析系统的版本跟踪记录而获得的缺陷数据相关联。 CBO的不同变化显示出与缺陷的相关性明显不同。关于结果,在CBO值之间发现了明显的二元鸿沟,一方面可以预测缺陷,另一方面可以预测没有缺陷。因此,结果表明,对于使用CBO达成普遍共识,澄清或明确地重新定义CBO既是理想的也是必不可少的。此外,度量标准的应用必须密切注意所使用的实际计算方法,并由此得出结论和比较。 Crown版权所有(C)2019,由Elsevier Inc.保留所有权利。

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