Tag: software fault prediction

A hybrid Transformer-BiLSTM deep learning framework with a dual nature-inspired feature selection method reports up to 99 percent accuracy in ...

Researchers have built a reuse-aware, package-level fault prediction model for Java applications that pairs architectural metrics with SHAP and LIME ...

Researchers in Hyderabad have built a deep learning pipeline that predicts fault-prone software modules with 99.3 percent accuracy in under ...