MDENet

the expert network in model-driven engineering

MDENet is the expert network for model-driven engineering. I am the director of this EPSRC funded network, together with Perdita Stevens from the University of Edinburgh. More information about the network is available on the network website.

The network was funded by EPSRC from 2020 to 2023, with an extension into 2024, and led to the creation of an international network.

References

Journal Articles

2024

  1. Preface to the special issue on success stories in model driven engineering
    Paula Muñoz, Steffen Zschaler, and Richard F. Paige
    Science of Computer Programming 233, 2024
  2. Requirements for Modelling Tools for Teaching
    Jörg Kienzle, Steffen Zschaler, William Barnett, and 8 more authors
    Software and Systems Modelling 23, 2024

Conference and Workshop Papers

2024

  1. Move your MDE teaching online: The MDENet Education Platform
    Steffen Zschaler, Will Barnett, Artur Boronat, and 2 more authors
    In 27th International Conference on Model Driven Engineering Languages and Systems (MODELS’24): Tools and Demonstrations, 2024

2023

  1. Designing Learning Paths with Open Educational Resources: A Case Study in Model-Driven Engineering
    Antonio Bucchiarone, Andrea Vazquez-Ingelmo, Gianluca Schiavo, and 3 more authors
    In 18th Iberian Conference on Information Systems and Technologies, 2023
  2. Towards Personalized Learning Paths to Empower Competency Development in Model Driven Engineering through the ENCORE platform
    Antonio Bucchiarone, Andrea Vazquez-Ingelmo, Gianluca Schiavo, and 7 more authors
    In Proc. Educators Symposium at MODELS 2023, 2023
  3. An Online Education Platform for Teaching MDE
    Will Barnett, Steffen ZschalerArtur Boronat, and 2 more authors
    In Proc. Educators Symposium at MODELS 2023, 2023
  4. Automatic Inference of Smart Data Discovery Interfaces for Rare Disease Datasets
    Artur Boronat, Adekunle Ademeyo, Mehdi Mehtarizadeh, and 1 more author
    In 3rd International Health Data Workshop (HEDA’23), 2023

Miscellaneous

2024

  1. arXiv
    Abstraction Engineering
    Nelly Bencomo, Jordi Cabot, Marsha Chechik, and 4 more authors
    2024