Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing.
Marek PawlickiAgata GielczykRafal KozikMichal ChorasPublished in: CORES (2019)
Keyphrases
- artificial neural networks
- fault prone
- software quality
- software modules
- source code
- software systems
- software metrics
- neural network
- source code metrics
- software development
- software projects
- software architecture
- software engineering
- development process
- software design
- user interface
- feature extraction
- artificial intelligence
- software components
- data model
- quality assurance
- software repositories
- genetic algorithm