Empirical Study of Object-Oriented Metrics

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Empirical Study of Object-Oriented Metrics
The increasing importance of software measurement has led to development of new software measures. Many metrics have been proposed related to various constructs like class, coupling, cohesion, inheritance, information hiding and polymorphism. But there is a little understanding of the empirical hypotheses and application of many of these measures. It is often difficult to determine which metric is more useful in which area. As a consequence, it is very difficult for project managers and practitioners to select measures for object-oriented systems. In this paper we investigate 22 metrics proposed by various researchers. The metrics are first defined and then explained using practical applications. They are applied on standard projects on the basis of which descriptive statistics, principal component analysis and correlation analysis is presented. Finally, a review of the empirical study concerning chosen metrics and subset of these measures that provide sufficient information is given ...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where JOT
Authors K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchika Malhotra
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