Enhancing code smell classification with code refactoring-based data augmentation
One of the primary challenges in training deep neural networks is the requirement for a robust and diverse data source. To address this limitation, data augmentation techniques have emerged as a promising solution, enabling the expansion of training datasets without requiring additional data collection. This study inve...