Experimental assessment of software metrics using automated refactoring
Proceedings of the ACM-IEEE international symposium on Empirical software engineering and measurement
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Numerous class cohesion metrics can be found in the literature. However, they end up capturing different aspects of cohesion. Which metric is best suited for a given situation is always a critical question. This work focuses on exploring the strengths and weaknesses of each of the selected cohesion metrics. The issues of their applicability to capture varying strengths of cohesion and ability to identify disparate classes are addressed. The metrics are classified into five categories based on their computational approaches. Diversity and similarity among these metrics are brought out. The discussion demonstrates uses of cohesion metrics with the help of typical representative situations.