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A large number of object-oriented metrics have been proposed in literature. They are used to assess different software attributes. However, it is not obvious for a developer or a project manager to select the metrics that are more useful. Furthermore, these metrics are not completely independent. Using several metrics at the same time is time consuming and can generate a quite large data set, which may be difficult to analyze and interpret. We present, in this paper, a new metric capturing in a unified way several aspects of object-oriented systems quality. The metric uses control flow paths and probabilities, and captures the collaboration between classes. Our objective is not to evaluate a given design by giving absolute values, but more relative values that may be used, for example, to identify in a relative way high-risk classes. We have designed and conducted an empirical study using several large Java projects. We compared the new metric, using the Principal Components Analysis method, to several well known object-oriented metrics. The selected metrics were grouped in five categories: coupling, cohesion, inheritance, complexity and size. The obtained results demonstrate that the proposed metric captures, in a large part, the information provided by the other metrics.

Empirical Analysis of Object-Oriented Design Metrics:Towards a New Metric Using Control Flow Paths and Probabilities.