The research field of conceptual modelling identifies models as artefacts describing a real or proposed system on an abstraction level that is adequate for a given purpose. This tutorial focuses on the Bee-Up hybrid multi-language modeling environment and key features that increase the value of models beyond their basic function (as diagrammatic documentation/ communication support). Bee-Up supports modeling with several established languages - BPMN, EPC, ER, UML, Petri Nets - enriched with semantic links between various model types. The goal of the tutorial is to highlight that Bee-Up is not limited to diagramming with established languages, but also facilitates model-value through model analysis, transformation, execution, and integration with other systems. A selection of these will be demonstrated during the tutorial. The growing interest in low-code/no-code approaches drives even more the need for models, that have functionality to interact and control smart devices. Theoretical aspects of what is under the hood of Bee-Up model processing capabilities will also be discussed emphasizing on the metamodeling approach selected for realization. Bee-Up is an open-source educational tool available at https://bee-up.omilab.org.

As a practical example for the tutorial, a case from the FAIRWork (www.fairwork-project.eu) project is utilized that demonstrates how metamodeling is applied to adapt the Bee-Up tool to novel requirements related to decision support systems. Specifically, the adaptation showcases an industrial case related to worker allocation and how the available Decision Model and Notation in Bee-Up have been conceptualized, implemented, and deployed in a physical experiment. Following a community-based innovation approach, participants are encouraged to experiment with the implementation of metamodels and model-value functionalities hands-on.

All tutorial content is published and accessible openly at https://www.omilab.org/activities/events/models2023_beeup_tutorial/

Acknowledgment: This work has been supported by the FAIRWork project and has been funded within the European Commission’s Horizon Europe Programme under contract number 101049499. This content presented expresses the opinions of the presenters and not necessarily those of the European Commission. The European Commission is not liable for any use that may be made of the information contained in this paper.