Software reliability assessment using artificial neural network
Indrajit Mandal · 2010
It will show how to apply Backpropagation algorithm to predict software reliability by designing different elements of neural networks. Furthermore, we will use the neural network approach to build a dynamic weighted combinational model. The applicability of proposed model is demonstrated through software failure data sets. From experimental results, we can see that the proposed model significantly outperforms the traditional software reliability models.