Software Engineering Research

Software engineering research aims to improve software development processes and outcomes through empirical investigation and the application of advanced techniques. Current research heavily focuses on leveraging machine learning, particularly deep learning and multi-task learning models, to automate tasks like vulnerability assessment and code quality prediction, often using large datasets of source code. This work is crucial for enhancing software security, efficiency, and developer productivity, bridging the gap between research and practical application through collaborations between academia and industry. The increasing integration of AI, especially generative AI, promises further advancements but also necessitates research into explainability and trustworthiness of these AI-driven tools.