WADT 2024
Mon 8 Jul 2024 Enschede, Netherlands
co-located with STAF 2024
Thu 11 Jul 2024 11:15 - 12:15 at Waaier 3 - LLM4MDE Keynote Session

Model-Driven Engineering (MDE) has advanced significantly with the integration of Machine Learning (ML) and Deep Learning (DL) techniques. To understand the transformative potential of Large Language Models (LLMs) in MDE, we first explore the spectrum of artificial intelligence: from Artificial Narrow Intelligence (ANI), which specializes in specific MDE tasks, to the more versatile Artificial General Intelligence (AGI).

We will look at an overview of current LLM applications in MDE, emphasizing their role in automating tasks such as model repository classification and developing sophisticated recommender systems.

Furthermore, we provide a comprehensive outline of the technical considerations for integrating LLMs into MDE workflows. This practical guide is designed to equip researchers and practitioners with the necessary knowledge to seamlessly implement LLMs into their MDE processes.

Looking ahead, we will propose a targeted research agenda to explore the future interplay of LLMs and MDE, identifying key challenges and opportunities. This roadmap envisions the use of LLM techniques to enhance the management, exploration, and evolution of modeling ecosystems.

slides (KEYNOTE2.pdf)5.71MiB

Juri Di Rocco is a tenure-track assistant professor in the Department of Information Engineering, Computer Science, and Mathematics at the University of L’Aquila. He earned his PhD from the same institution, working within the MDEGroup research team under the supervision of Alfonso Pierantonio and Davide Di Ruscio.

His research interests encompass all aspects of software language engineering. His primary focus lies in Model Driven Engineering (MDE), specifically in domain-specific modeling languages, recommender systems for MDE, modeling repositories, and mining techniques.

Thu 11 Jul

Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

11:00 - 12:30
LLM4MDE Keynote SessionLLM4MDE / STAF Keynotes at Waaier 3
11:00
15m
Day opening
LLM4MDE Opening
LLM4MDE
O: Riccardo Rubei University of L'Aquila
File Attached
11:15
60m
Keynote
LLM4MDE Keynote: Harnessing Large Language Models for Model-Driven Engineering: Current Applications and Future Directions
STAF Keynotes
K: Juri Di Rocco University of L'Aquila
File Attached