Abstract
The current digital transformation in production systems has positioned model-driven engineering (MDE) as a promising development solution to leverage models as first-class entities and support complex systems’ development through dedicated abstractions. Models are specified through domain-specific languages and consumed by dedicated model management services, which implement automation and analysis services. Achieving complex model-driven tasks that involve several model management services and multiple model repositories can be a difficult and error-prone task. For instance, modelers have to identify the proper atomic operations among available services, connect to remote model repositories, and figure out their composition to satisfy the final goal. Different composition proposals have been introduced in MDE even though a satisfactory solution is still missing. In this paper, we propose a low-code development environment to support citizen developers to plan, organize, specify and execute model-management workflows underpinning the development of complex systems. Thus, developers are relieved from managing low-level details, e.g., related to the discovery, orchestration, and integration of the needed model management services.
This work is funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie - ITN grant agreement No 813884.
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Indamutsa, A., Di Ruscio, D., Pierantonio, A. (2021). A Low-Code Development Environment to Orchestrate Model Management Services. In: Dolgui, A., Bernard, A., Lemoine, D., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 630. Springer, Cham. https://doi.org/10.1007/978-3-030-85874-2_36
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DOI: https://doi.org/10.1007/978-3-030-85874-2_36
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