FR-CNN: SOFTWARE FAULT PREDICTION USING A NOVEL HYBRID HIERARCHICAL MODEL
A novel hybrid model based on a fine-tuned fully connected fully connected deep neural network, a random forest, and a convolutional neural network that achieves competitive fault prediction performance while requiring lower computational complexity and training time than recent deep-learning approaches.