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’