Embedded code embeddings

Sebastian Sierra
Research Theme
Application area: Industry R2 Prosilience & Robustness
Neural Networks

The aim of the project is to propose representations of embedded source code that enable the use of machine learning during the development process of embedded applications. Specifically, we would like to apply machine learning to security and quality tasks such as defect prediction or bug detection. Currently, graph-based neural representations of source code are being under study.