文章基本信息

标题：Improving Class Cohesion Measurement: Towards a Novel Approach Using Hierarchical Clustering
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作者：Lazhar Sadaoui ; Mourad Badri ; Linda Badri 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2012
卷号：5
期号：7
页码：449-458
DOI：10.4236/jsea.2012.57051
出版社：Scientific Research Publishing
摘要：Class cohesion is considered as one of the most important object-oriented software attributes. High cohesion is, in fact, a desirable property of software. Many different metrics have been suggested in the last several years to measure the cohesion of classes in object-oriented systems. The class of structural object-oriented cohesion metrics is the most in-vestigated category of cohesion metrics. These metrics measure cohesion on structural information extracted from the source code. Empirical studies noted that these metrics fail in many situations to properly reflect cohesion of classes. This paper aims at exploring the use of hierarchical clustering techniques to improve the measurement of cohesion of classes in object-oriented systems. The proposed approach has been evaluated using three particular case studies. We also used in our study three well-known structural cohesion metrics. The achieved results show that the new approach appears to better reflect the cohesion (and structure) of classes than traditional structural cohesion metrics.
关键词：Object-Oriented; Classes; Cohesion; Similarity; Clustering; Metrics and Empirical Evaluation