Work

Learning to represent code changes

Year: 2025

Type: article

Source: Empirical Software Engineering

DOI: 10.1007/s10664-025-10763-6

Authors: Xunzhu Tang, Haoye Tian, Weiguo Pian, Saad Ezzini, Abdoul Kader Kaboré, Andrew Habib, Kisub Kim, Jacques Klein, Tegawendé F. Bissyandé

Institutions: University of Luxembourg, The University of Melbourne, Lancaster University, Daegu Gyeongbuk Institute of Science and Technology

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: H2020 European Research Council

Award: Natural Program Repair

OpenAlex ID: W4417424818

FWCI:

Cites: 77

Cited by:

Related to: 10