Self-describing Operations for Multi-level Meta-modeling

Urbán, Dániel; Theisz, Zoltán; Mezei, Gergely

doi:10.5220/0006656105190527

Cited by 15 publications

(8 citation statements)

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“…It was successfully solved by several multi-level approaches, e.g. by Melanee [1], XModeler [10], MultEcore [13], and DMLA [19]. Division of the model into separate ontological levels was an essential part of all the solutions, which clearly indicates the strengths of multilevel modeling.…”

Section: Background 21 Multi-level Modelingmentioning

confidence: 99%

“…Every entity has a unique meta-entity assigned which explicitly enables or disables certain features in the entity via the validation logic contained within the meta-entity. The generic validation mechanism which activates the validation logic of the individual entities is fully modeled by the aforementioned built-in operation language [19].…”

Section: The Dynamic Multi-layer Algebramentioning

confidence: 99%

“…Besides the structural description of the join potency relations, it is important to be able to validate these constructs. The built-in operation language and the flexibility of instantiation available in DMLA [19] allows us to achieve it. Namely, in DMLA, when validating a model, the framework iterates over every entity of the model and invokes type validation on each entity -meta-entity pair.…”

Section: Join Potencymentioning

confidence: 99%

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Join potency

Theisz

Bácsi

Mezei

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

Self Cite

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Multi-level modeling has become a mature modeling paradigm both theoretically and by technical means. It has proved itself when a single domain has to be created without accidental complexity. However, when several interconnected domains are to be handled, multi-level modeling is still not as capable as legacy metamodeling. Our position paper aims to narrow the gap by the introduction of a novel technique that can combine several multi-level models from different domains statically. Besides its theoretical proposal, the solution is also defined in our multi-layer modeling framework (Dynamic Multi-Layer Algebra) and is demonstrated by an illustrative example. CCS CONCEPTS • Software and its engineering → Model-driven software engineering.

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Section: Background 21 Multi-level Modelingmentioning

confidence: 99%

Section: The Dynamic Multi-layer Algebramentioning

confidence: 99%

Section: Join Potencymentioning

confidence: 99%

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Join potency

Theisz

Bácsi

Mezei

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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“…In order to make our solution easier to understand, MLMP is demonstrated via complete examples in which we present the specification of multi-level constructs that exist in the research literature. The playground is based on the Dynamic Multi-Layer Algebra (DMLA), which is our multi-layer modeling framework [61,63,64].…”

Section: Introductionmentioning

confidence: 99%

Playground for multi-level modeling constructs

et al. 2021

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In recent years, multi-level modeling has become more and more popular. It is mainly due to the fact that multi-level modeling aims to reduce or even totally eliminate any accidental complexity inadvertently created as by-product in traditional model design. Moreover, besides reducing model complexity, multi-level modeling also improves on general comprehension of models. The key enablers of multi-level modeling are the concepts of clabjects and deep instantiation. The latter is often governed by the potency notion, of which many different interpretations and variations emerged over the years. However, there exist also some approaches that disregard the potency notion. Thus, multi-level modeling approaches tend to take advantage of different theoretical and practical backgrounds. In this paper, we propose a unifying framework, the Multi-Level Modeling Playground (MLMP), which is a validating modeling environment for multi-level modeling research. The MLMP environment is based on our multi-layer modeling framework (the Dynamic Multi-Layer Algebra), which provides useful mechanisms to validate different multi-level modeling constructs. Since beyond the structure also the well-formedness rules of the modeling constructs can be specified, our proposed MLMP environment delivers several practical benefits: i) well-formedness is always verified, ii) multi-level constructs can be experimented with independently of any concrete tool chains, and iii) relationships (i.e., correlations or exclusions) between different multi-level constructs can be easily investigated in practice. Also, the capability of the environment is demonstrated via complete examples inspired by state-of-the-art research literature.

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“…Typically, meta-languages avoid the problem, by representing constraints as external strings, for example EXTREMO (Segura & de Lara 2019). As noted in (Urbán et al 2018):…”

Section: Introductionmentioning

confidence: 99%

A Meta-Circular Basis for Model-Based Language Engineering.

Clark¹

2020

JOT

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Meta-modelling is a technique that facilitates the construction of new languages to be used in system development. Although meta-modelling is supported by a number of tools and technologies, notably the Meta Object Facility from the OMG, there is no widely accepted precise basis for meta-modelling that can be used to develop and study language-based approaches to system development. Recent advances in meta-modelling have proposed several approaches to mixing types and instances, and allowing constraints to hold over multiple levels. This article proposes a collection of key characteristic features that are used to define a foundational self-contained unifying metalanguage that is evaluated through several examples.

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Self-describing Operations for Multi-level Meta-modeling

Cited by 15 publications

References 0 publications

Join potency

Join potency

Playground for multi-level modeling constructs

A Meta-Circular Basis for Model-Based Language Engineering.

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