Amro Mohammad Abed Alfattah Abdin

Automated software debugging and bug prediction through the use of machine learning and deep learning

The results indicate that traditional ML models, especially random forest and extra trees, are still very effective for metric-based defect prediction, while DL and multi-modal approaches need to be fed with richer software artifacts to reach their full potential.