Isil Karabey Aksakalli

HAR-MLP: A Hybrid Attention–Residual MLP Architecture with Handcrafted Features for Software Bug Prediction

This study proposes a Hybrid Attention-Residual Multilayer Perceptron (HAR-MLP) model, which achieves higher performance than traditional feature extraction and classification methods while remaining computationally competitive compared to pre-trained transformer-based approaches.