Work

Cross-lingual Code Clone Detection: When LLMs Fail Short Against Embedding-based Classifier

Year: 2024

Type: conference-paper

Abstract: Cross-lingual code clone detection has gained attention in software development due to the use of multiple programming languages. Recent advances in machine learning, particularly Large Language Models (LLMs), have motivated a reexamination of this problem.

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

DOI: 10.1145/3691620.3695335

Authors: Micheline Benedicte Moumoula, Abdoul Kader Kabore, Jacques Klein, Tegawende F. Bissyande

Institution: University of Luxembourg

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4403538010

FWCI: 0.393

Cites: 6

Cited by: 1

Related to: 10