Engineering teams can’t afford to treat AI as a hands-off solution; instead, they must learn how to balance experimentation ...

Abstract: Within software engineering research, Large Language Models (LLMs) are often treated as ‘black boxes’, with only their inputs and outputs being considered. In this paper, we take a machine ...

Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...

The way software is developed has undergone multiple sea changes over the past few decades. From assembly language to cloud-native development, from monolithic architecture to microservices, from ...