ASE2024
Semantic-aware Source Code Modeling
Yangruibo Ding
Abstract
Source code modeling represents a promising avenue for automating software development, such as code generation, bug repair, and program analysis. This research direction aims to train deep neural nets to learn the statistical predictability inherent in human-written programs to enhance developer productivity, code quality, and the overall software development life cycle.