Work

Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection

Year: 2025

Type: conference-paper

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

DOI: 10.1109/icse55347.2025.00177

Authors: Yanfu Yan, Viet Duong, Huajie Shao, Denys Poshyvanyk

Institution: William & Mary

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Cisco Systems

Award: Collaborative Research: SHF: Medium: Toward Understandability and Interpretability for Neural Language Models of Source Code

OpenAlex ID: W4411552253

FWCI: 3.525

Cites: 97

Cited by: 3

Related to: 10