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Software and Systems Modeling

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18.01.2022 | Theme Section Paper

Multi-dimensional multi-level modeling

verfasst von: Thomas Kühne

Erschienen in: Software and Systems Modeling | Ausgabe 2/2022

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Abstract

The growth of multi-level modeling has resulted in an increase of level-organization alternatives which significantly differ from each other with respect to their underlying foundations and the well-formedness rules they enforce. Alternatives substantially diverge with respect to how level boundaries should govern instance-of relationships, what modeling mechanisms they employ, and what modeling principles they establish. In this article, I analyze how a number of multi-level modeling approaches deal with certain advanced modeling scenarios. In particular, I identify linear domain metamodeling, i.e., the requirement that all domain-induced instance-of relationships align with a single global level-hierarchy, as a source of accidental complexity. I propose a novel multi-dimensional multi-level modeling approach based on the notion of orthogonal ontological classification that supports modeling of domain scenarios with minimal complexity while supporting separation of concerns and sanity-checking to avoid inconsistent modeling choices.

Vorheriger Artikel Accidental complexity in multilevel modeling revisited

Nächster Artikel Simulation and analysis of MultEcore multilevel models based on rewriting logic

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Titel: Multi-dimensional multi-level modeling
verfasst von: Thomas Kühne
Publikationsdatum: 18.01.2022
Verlag: Springer Berlin Heidelberg
Erschienen in: Software and Systems Modeling / Ausgabe 2/2022
Print ISSN: 1619-1366
Elektronische ISSN: 1619-1374
DOI: https://doi.org/10.1007/s10270-021-00951-5

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