Context-aware Representation Learning for Code Analysis
Project
Context-aware Representation Learning for Code Analysis
Principal Investigator
School of Information Technology and Electrical Engineering (ITEE), University of Queensland
Summary
This project conducts a more comprehensive study on representation learning for code and develops novel machine learning algorithms to represent code, in a way that is well suited for various machine learning tasks in software engineering, combining both textual representations and various semantic and structural information.