The MDENet education platform: zero-install directed activities for learning MDE

Setting up and configuring model-driven engineering (MDE) tools is not straightforward because the MDE tooling landscape is highly fragmented and because many MDE tools are research prototypes with limited documentation. This creates significant accidental complexity for learners of MDE, who have to overcome installation and configuration hurdles before they can even begin to focus on the core MDE concepts they should be learning. This is further complicated by the complexity of modern MDE tools, which can overwhelm new learners, making it difficult for them to work out what they should do next to achieve a given goal. To address these challenges, we have developed a web-based playground platform that enables learners to engage with MDE learning activities without the need to install anything. The playground metaphor allows teachers to expose only those functionalities directly required for the completion of a particular learning activity. We present the general architecture of the platform, our approach to the declarative integration of new MDE tools, and the way in which teachers can flexibly and declaratively define new MDE learning activities. We have used our platform in a range of different contexts, from live tutorials and 10-week university courses, to developing documentation webpages for MDE tools. We describe examples of such uses, showcasing the flexible configurability of the platform for different types of activities and contexts.

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Publication Details

Journal
Software & Systems Modeling
Published
2025-06-02
DOI
https://doi.org/10.1007/s10270-025-01292-3
Citations
1
Primary Topic
Software Engineering Techniques and Practices
Type
article
Field-Weighted Citation Impact
3.25

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article

The MDENet education platform: zero-install directed activities for learning MDE

Will Barnett, Dimitrios S. Kolovos, Antonio García‐Domínguez, Artur Boronat et al.
1 citations
Software & Systems Modeling
Software Engineering Techniques and Practices
3.25
article

The MDENet education platform: zero-install directed activities for learning MDE

Will Barnett, Dimitrios S. Kolovos, Antonio García‐Domínguez, Artur Boronat, Steffen Zschaler
article en
1 citations

Abstract

Setting up and configuring model-driven engineering (MDE) tools is not straightforward because the MDE tooling landscape is highly fragmented and because many MDE tools are research prototypes with limited documentation. This creates significant accidental complexity for learners of MDE, who have to overcome installation and configuration hurdles before they can even begin to focus on the core MDE concepts they should be learning. This is further complicated by the complexity of modern MDE tools, which can overwhelm new learners, making it difficult for them to work out what they should do next to achieve a given goal. To address these challenges, we have developed a web-based playground platform that enables learners to engage with MDE learning activities without the need to install anything. The playground metaphor allows teachers to expose only those functionalities directly required for the completion of a particular learning activity. We present the general architecture of the platform, our approach to the declarative integration of new MDE tools, and the way in which teachers can flexibly and declaratively define new MDE learning activities. We have used our platform in a range of different contexts, from live tutorials and 10-week university courses, to developing documentation webpages for MDE tools. We describe examples of such uses, showcasing the flexible configurability of the platform for different types of activities and contexts.

Software & Systems ModelingVol. 25(1)
University of Leicester (GB), King's College London (GB), University of York (GB)
Engineering and Physical Sciences Research Council, Innovate UK
Openalex Percentile: Top 9%
Software Engineering Techniques and Practices
3.25
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The MDENet education platform: zero-install directed activities for learning MDE — Will Barnett, Dimitrios S. Kolovos, et al. · Software & Systems Modeling (2025) | TGRS Research Map | TGRS