MDEML

 

 Motivation

Model-driven engineering (MDE) is a paradigm to effectively tame complexity, automate engineering tasks, and support human communication. General-purpose and domain-specific modeling languages allow different stakeholders to express their concerns with more human-oriented concepts than it would be possible with traditional (machine-oriented) programming languages. Modeling languages and MDE are currently leveraged in most applicative domains, from banking to digital printing, and drive the success story of low-code, no-code and other development paradigms. The MDEML track aims at gathering ideas, challenges, and solutions related to MDE and modeling languages.

 

Topics

Topics of interest include, but are not restricted to:

  • Modeling language engineering (abstract/concrete syntax, semantics, components, modules, modelling language integration, etc.)
  • Foundations of modeling language design, composition, reuse, and evolution
  • Model transformation languages and model transformations
  • Transformations across modeling languages (e.g., for interoperability, analysis, …)
  • Generation of language infrastructures (e.g., concrete syntaxes, editors, collaboration and management tools, … )
  • Tools on MDE and modeling languages (editors, language workbenches, etc.)
  • Comparison of different model-driven language engineering technologies
  • Low-code and/or no-code applications
  • Modeling in emerging domains such as Digital Twin, industry 4.0, smart cities, smart energy networks, internet of things (IoT), cyber-physical systems (CPS), etc
  • Empirical studies on MDE and modeling languages
  • Industrial experience and challenge reports on MDE and modeling languages

Program Committee

  • Antonio Cicchetti (Mälardalen University)
  • Loek Cleophas (TU Eindhoven; and Stellenbosch University)
  • Juan De Lara (Universidad Autonoma de Madrid)
  • Davide Di Ruscio (Università degli Studi dell’Aquila)
  • Amleto Di Salle (Gran Sasso Science Institute)
  • Romina Eramo (University of Teramo)
  • Simon Hacks (Stockholm University)
  • Robbert Jongeling (Mälardalen University)
  • Marjan Mernik (University of Maribor)
  • Judith Michael (RWTH Aachen University)
  • Cristina Seceleanu (Mälardalen University)
  • Bran Selic (Malina Software Corp.)
  • Daniel Strüber (Chalmers | University of Gothenburg, Radboud University Nijmegen)
  • Matthias Tichy (Ulm University)
  • Juha-Pekka Tolvanen (MetaCase)
  • Javier Troya (Universidad de Malaga)