Software Effort Estimation Using Artificial Neural Networks: A Survey of the Current Practices

Abstract

The value of Artificial Neural Networks (ANNs) methods in performing complicated pattern recognition and nonlinear estimation tasks has been demonstrated across an impressive spectrum of applications. ANNs methods are also used in software development process, since it is a complex environment with many interrelated factors affecting development effort and productivity. Accurate forecasting has proved difficult since many of these interrelationships are not fully understood. This paper provides an overview on the use Artificial Neural Networks methods to estimate the development effort for software development projects. In this survey an explanation, on why those methods are used and how accurate they are.