Abstract: The scarcity and imbalance of labelled training data in real-world requirement engineering datasets constrain the effectiveness of automating software requirement classification using deep ...

In the past, producing a high-quality research report was a true test of endurance. Hours—or even days—were spent collecting data from multiple sources, manually filtering noise, and organizing it ...

Abstract: In this paper, we propose an innovative deep learning architecture that integrates the deep context understanding capabilities of BERT with the spatial and temporal feature capture ...