MDENet Annual
Symposium 2023
MDENet third Annual Symposium was held as an hybrid event, in London (at the Royal National Hotel) and online, on December 5th and 6th 2023.
5 & 6
December 2023
MDENet Annual Symposium 2023 recordings and presentation slides
Lola Burgueno on ‘Revolutionising Model Development with Large Language Models’
Tom Beadman on ‘ISO20022 and converting from Eclipse Modeling Framework to JetBrains Meta Programming System’
Juha-Pekka Tolvanen on ‘Empowering Language Users: The MetaEdit+ Collaborative Approach to Language Engineering’
Presentation slides
Hanan Abdulwahab Siala on ‘Model-driven Approaches for Reverse Engineering’
Presentation slides
Ivan Alfonso on ‘BEtter Smart Software fastER (BESSER): an open source low-modeling low-code platform to develop smart software
Tutorial – Antonio Garcia-Dominguez on ‘Managing your models as part of a DevOps pipeline
Presentation slides
Jos Warmer on ‘The LionWeb Initiative: interoperability of language tools on the Web
Presentation slides
Stephen Powley on ‘Foundations for Multicontext Modelling: semantic web-compatible vocabulary management for standards
Juha-Pekka Tolvanen on ‘How Companies Measure Productivity from Domain-Specific Modeling Languages
Presentation slides
Marc North on ‘Enhancing LLM Code Generation with domain-specific UML models: real-world examples from industry’
Joe Newton and Qurat ul ain Ali on ‘Development of a Cloud-Based Modelling Environment for Controls and Monitoring Systems’
Maged Khalil on ‘How much modeling do we really need? A view on MDE challenges & trends in the automotive industry in the age of the Software-Defined-Vehicle
Oleg Aslanidi on ‘Cardiac digital twins for stratification and therapy guidance in arrhythmia patients’
Presentation slides
Antonio Bucchiarone on ”PapyGame’ Learning Material Definition and Sharing Components’
Presentation slides
Avi Shaked on ‘Automating the security analysis and design of systems using models’
Sofia Meacham and Simon Fraser on ‘Evaluation of domain-specific languages for Chronic Kidney Disease (CKD)
Huma Samin on ‘iDecide: Quantifying Uncertainty in Models using Artificial Intelligence for Personalised and Shared Decision-Making in Digital Health’ and ‘Envisioning Risk Models for Assessment of AI-based applications (ERiMA)
Francesco Ciriello and Antoine el Adib on ‘Modeling requirements for automating a life-cycle assessment (LCA) from a computer-aided design (CAD) model and enhance feedback from designers’
Avner Bensoussan on ‘Model-Driven Scenario Evaluation for Testing Automated Driving Functions (MODEST-AutoDrive)
Artur Boronat on ‘Learning Resources on MTLs for the MDENet Education Platform’
Sripad Sahu on ‘Factory Digital Twinning with Model-driven Engineering Methodology’
Programme and speaker details
You can download the final programme for MDENet’s Annual Symposium here.
Keynote Speakers
Lola Burgueno
Revolutionising Model Development with Large Language Models
Thanks to the rapid evolution of Artificial Intelligence (AI) in recent years we constantly have new mechanisms at our disposal that allow us to solve increasingly complex problems. Lately, Large Language Models (LLMs) is the subfield of AI that is revolutionising many sectors, including Software Engineering and in particular MBSE.By leveraging AI and LLMs in MBSE, we can provide modelers with intelligent assistants as well as automate tasks that help them develop higher-quality software to improve their productivity. This shift from mostly manual tasks to AI-assisted and AI-automated tasks enables modellers to spend their time on the tasks where they provide the most value.In this talk I give an overview of our work that leverages LLMs to assist modelers when creating models, and evaluates the current capabilities of widespread LLMs, such as GPT-3.5 and GPT-4. Finally, I present both the short-term and long-term challenges that we will be facing in the future.
Maged Khalil
How much modeling do we really need? A view on MDE challenges & trends in the automotive industry in the age of the Software-Defined-Vehicle
The talk posits a necessary shift in Systems and Software modeling focus for complex connected future mobility solutions in the age of the “Software-defined-Vehicle”, and presents some pondering about how much (top-down) modeling (and which types of models) we need in a world of growing (cloud) computing & simulation power, enabling digital twins with rapidly increasing parity. Furthermore, increasingly complex and interconnected operational domains are adding many requirements to systems being developed, necessitating a much stronger integration of the understanding and engineering artifacts of traditionally separated life-cycle stages.