Open access
2026
A Comparative Study of CNN and MLP for Software Defect Prediction Using PROMISE Datasets
This study applies both algorithms to detect software defects using 11 open-source datasets from the PROMISE repository and indicates that CNN outperforms MLP, achieving 86% prediction accuracy and an F1 score of 87.7%.
Ekhlas Tariq Hasan, S. Mohi-Aldeen
· International research journ... · 0 citations