Improved Neural Network based on Dynamic Predication Model of Software Reliability
Changjie Ma, Guochang Gu, Jing Zhao · Journal of Convergence Information Technology · 2011
During the last three decades, many software reliability models have been proposed and analyzed for measuring software reliability. Those models are mathematical models that represent software failures as a random process and can be used to evaluate development status during testing. Also they proposed artificial neural network based approach for software reliability estimation and modeling. They already have shown how to apply neural network to predict a dynamic model. In this paper, we propose an improved neural network based dynamic predication model of software reliability, we improve the original model by choosing well-selected data models from all data models. Due to well-selected data models, proposed model improve the predication capability.