The Software Reliability Model Using Hybrid Model of Fractals and BP Neural Network

The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both BP neural network and fractal models is proposed to take advantage of unique strength of BP neural network and fractal in modeling. Based on the experiments performed on the software reliability data obtained from literatures, it is observed that our method is effective through comparison with past methods and a new idea for the research of the software failure mechanism is presented.