Machine Learning Approach for Software Reliability Growth Modeling with Infinite Testing Effort Function

Box 2

Description of machine learning cross-validation procedure to select appropriate weight values.

() Train on the 60% training data set.

() Calculate the training data set accuracy by propagating error through the network and by adjusting the weights using ANN

  feed-forward back-propagation algorithm.

() Validate on the next 20% validation data set.

() If

   the threshold validation accuracy is met stop training.

  Else

   continue training until the threshold validation accuracy met.

() Test on the next 20% test data set to confirm the selection of the model with appropriate weights.