Work

Semantic-aware Source Code Modeling

Year: 2024

Type: conference-paper

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.

Source: IEEE/ACM International Conference on Automated Software Engineering (ASE)

DOI: 10.1145/3691620.3695605

Author: Yangruibo Ding

Institution: Columbia University

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

OpenAlex ID: W4403519989

FWCI:

Cites: 17

Cited by:

Related to: 10