An Overall Evaluating Method for Software Qualities Based on Neural Networks

This paper studies metric models of software quality evaluations and in particular looks into consistency and stability in global quality evaluations. Furthermore, this paper proposes a global evaluation method based on feedforward single-hidden-layer neural networks. An application result shows that the presented method is quite effective.