Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM).
Ahmed Bahaa FaridEnas Mohamed FathyAhmed Sharaf EldinLaila A. Abd-ElmegidPublished in: PeerJ Comput. Sci. (2021)
Keyphrases
- convolutional neural network
- hybrid model
- long short term memory
- recurrent neural networks
- software defect prediction
- artificial neural networks
- neural network
- ensemble learning
- face detection
- feed forward
- imbalanced data
- feature ranking
- sample selection bias
- class imbalance
- hybrid models
- support vector regression
- support vector machine svm
- multi layer perceptron
- generalization ability
- back propagation
- regression model
- support vector machine
- classification accuracy
- genetic algorithm
- bp neural network
- training data