A novel approach for software defect prediction through hybridizing gradual relational association rules with artificial neural networks.
Diana-Lucia MiholcaGabriela CzibulaIstván Gergely CzibulaPublished in: Inf. Sci. (2018)
Keyphrases
- software defect prediction
- artificial neural networks
- association rules
- ensemble learning
- neural network
- imbalanced data
- data mining
- sample selection bias
- feature ranking
- class imbalance
- back propagation
- knowledge discovery
- multi layer perceptron
- genetic algorithm
- genetic algorithm ga
- neural network model
- concept drift
- radial basis function
- evolutionary algorithm
- feature selection