Work

Comparing LLM-Based and Model-Driven Program Translation

Year: 2025

Type: conference-paper

Abstract: Deep learning (DL) approaches for program translation have been extensively researched over recent years. These have been shown to be an effective alternative to manually-coded translators. At the same time, questions remain regarding the reliability and verifiability of DL approaches. Precise program translation approaches based on model-driven reverse engineering (MDRE) have also been researched. In this paper we provide the first detailed comparison of the results of the DL and MDRE approaches on tasks of COBOL translation to Python, Java and C\#.

DOI: 10.1109/icosse65712.2025.00021

Authors: Kevin Lano, Hanan A. Siala, Kunxiang Jin

Institution: King's College London

Language: English

Topic: Software Engineering Research

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: King's College London, Engineering and Physical Sciences Research Council

OpenAlex ID: W4413158620

FWCI: 3.645

Cites:

Cited by: 3

Related to: 10