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🚀 LLM4MDE Papers 📚

A curated list of papers exploring the integration of Large Language Models (LLMs) with Model-Driven Engineering (MDE).

Note

This list is a work in progress. If you have any suggestions or would like to add your own paper, please feel free to open an issue or submit a pull request!

Table of Contents

Papers

Survey

On the use of Large Language Models in Model-Driven Engineering

Juri Di Rocco, Davide Di Ruscio, Claudio Di Sipio, Phuong T. Nguyen, Riccardo Rubei

Software and Systems Modeling. (arxiv, link)

Jan., 2025

Model Generation

Automated Derivation of UML Sequence Diagrams from User Stories: Unleashing the Power of Generative AI vs. a Rule-Based Approach

Munima Jahan, Mohammad Mahdi Hassan, Reza Golpayegani, Golshid Ranjbaran, Chanchal Roy, Banani Roy, Kevin Schneider

MODELS 2024 (link)

Sept., 2024

Model generation with LLMs: From requirements to UML sequence diagrams

Alessio Ferrari; Sallam Abualhaija; Chetan Arora

RE 2024 Workshops: MoDRE2024. (arxiv, link)

Jun., 2024

Automated Domain Modeling with Large Language Models: A Comparative Study.

Kua Chen; Yujing Yang; Boqi Chen; José Antonio Hernández López; Gunter Mussbacher; Dániel Varró

MODELS 2023. (link)

Oct., 2023

Extracting Domain Models from Textual Requirements in the Era of Large Language Models

Sathurshan Arulmohan; Marie-Jean Meurs; Sébastien Mosser

MODELS 2023 Companion: MDE Intelligence 2023. (link)

Oct., 2023

On the Use of GPT-4 for Creating Goal Models: An Exploratory Study

Boqi Chen, Kua Chen, Shabnam Hassani, Yujing Yang, Daniel Amyot, Lysanne Lessard, Gunter Mussbacher, Mehrdad Sabetzadeh, Dániel Varró

RE 2023 Workshops: MoDRE 2023. (link)

Sept., 2023

On the assessment of generative AI in modeling tasks: an experience report with ChatGPT and UML

Javier Cámara, Javier Troya, Lola Burgueño, Antonio Vallecillo

Software and Systems Modeling. (link)

May, 2023

Model Completion

System Architects Are not Alone Anymore: Automatic System Modeling with AI

Ludovic Apvrille, Bastien Sultan

MODELSWARD 2024. (link)

2024

Toward a Symbiotic Approach Leveraging Generative AI for Model Driven Engineering

Vinay Kulkarni, Sreedhar Reddy, Souvik Barat, Jaya Dutta

MODELS 2023. (link)

Oct., 2023

Towards using Few-Shot Prompt Learning for Automating Model Completion

Meriem Ben Chaaben, Lola Burgueño, Houari Sahraoui

ICSE 2023-NIER (arxiv, link)

Sept., 2023

Domain Specific Languages

Text2VQL: Teaching a Model Query Language to Open-Source Language Models with ChatGPT

José Antonio Hernández López, Földiák Máté, Dániel Varró

MODELS 2024. (link)

Sept., 2024

PathOCL: Path-Based Prompt Augmentation for OCL Generation with GPT-4

Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh

ICSE 2024: FORGE 2024 (arxiv, link)

Jun., 2024

On Codex Prompt Engineering for OCL Generation: An Empirical Study

Seif Abukhalaf, Mohammad Hamdaqa, Foutse Khomh

MSR 2023. (link)

May 2023.

Benchmarks

Towards standarized benchmarks of LLMs in software modeling tasks: a conceptual framework

Javier Cámara, Lola Burgueño, Javier Troya

Software and Systems Modeling. (link)

Sept., 2024

Requirements

Neural Language Models and Few Shot Learning for Systematic Requirements Processing in MDSE

Vincent Bertram, Miriam Boß, Evgeny Kusmenko, Imke Helene Nachmann, Bernhard Rumpe, Danilo Trotta, Louis Wachtmeister

SLE 2022. (link)

Dec. 2022

MDE4LLM

Model-Driven Prompt Engineering

Robert Clarisó, Jordi Cabot

MODELS 2023. (link)

Oct., 2023

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