Artificial neural network for software reliability assessment

Neural networks have emerged as a promising technology in application that requires generalization, abstraction, adaptation and learning. The value of neural network modeling techniques in performing complicated pattern recognition and nonlinear forecasting tasks has now been demonstrated across an impressive spectrum of applications. This methodology has become an alternative to modelling of some physical and non-physical systems with scientific or mathematical basis, and also to expert systems methodology This paper presents an Artificial Neural Networks for Software Reliability Assessment. It also discusses the main findings and concludes with a promising results.