F.M.A. Salam

Quantum-Inspired Deep Learning for Automated Software Defect Prediction: A Hybrid QLSTM-GCN Approach

The growing complexity of contemporary software systems has intensified the need for intelligent and dependable techniques capable of identifying defects early. Conventional machine learning models often face limitations when handling high-dimensional code metrics, class imbalance, and limited interpretability, thereby...