Artificial neural network for software quality evaluation based on the metric analysis

Need and concept of software quality evaluation using artificial neural network (ANN) is described in the article. Architecture and structure of an artificial neural network of quality evaluation have been developed. The process of ANN training and testing was investigated. Research of ANN functioning results was conducted. ANN on the basis of design stage metrics analysis allows to make a comparative analysis of different projects and choose the best one of the characteristics of complexity and quality.