Compositional Modelling Languages with Analytics and Construction Infrastructures Based on Object-Oriented Techniques—The MontiCore Approach

Butting, Arvid; Hölldobler, Katrin; Rumpe, Bernhard; Wortmann, Andreas

doi:10.1007/978-3-030-81915-6_10

Cited by 8 publications

(6 citation statements)

References 24 publications

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“…MontiCore (Hölldobler et al 2021) is an open-source 1 language workbench for engineering textual DSMLs. The combined concrete and abstract syntax of a MontiCore DSML is described via 1 MontiCore is available via: www.monticore.de…”

Section: Engineering Software Languages In Monticorementioning

confidence: 99%

“…A language component in MontiCore is a (potentially incomplete) language definition particularly designed for being composed with other languages. They comprise a context-free grammar for defining the partial sentences of the corresponding component (Hölldobler et al 2021). Language components are designed to define hook points and fill these of other languages.…”

Section: Language Component Models In Monticorementioning

confidence: 99%

“…Among the available textual language workbenches and graphical modeling tools, our study is based on two well-known, actively developed, advanced, and OMG standard-compliant tools. MontiCore is an open-source language workbench for engineering textual DSMLs that is used in academia with its methods and concepts also translating into industrial applications (Hölldobler et al 2021). MagicDraw, on the other hand, is a popular commercial modeling tool supporting UML and SysML standards and is widely used in the industry for developing graphical DSMLs and has support for many frameworks such as SysML, UAF, SoaML, and Enterprise Architect in the form of plugins (MagicDraw Enterprise 2022).…”

Section: Threats To Validitymentioning

confidence: 99%

“…However, the technological spaces for DSMLs are heterogeneous. For example, some language workbenches, such as MontiCore (Hölldobler et al 2021), enable defining languages with a textual syntax, while others, such as MagicDraw (MagicDraw Enterprise 2022), allow the creation of graphical languages (Gupta et al 2021). Another difference may be how the language workbenches assign meaning to models (Harel & Rumpe 2004) of the language, which can be achieved, e.g., by interpreters or code generators.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Towards Modular Development of Reusable Language Components for Domain-Specific Modeling Languages in the MagicDraw and MontiCore Ecosystems.

Butting,

Gupta,

Jansen

et al. 2023

JOT

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The modularization of domain-specific modeling languages (DSMLs) during language development is important for languages or language parts to be reusable. As languages and their components are created using different language workbenches or modeling tools, the definitions and concepts for such language components are often limited to their individual technological spaces. In reality, language development requires significant effort, and DSMLs are often built from scratch within a single technological space, with little consideration for the generalization of the development concepts to other technological spaces. In this article, we discuss common notions of language components that are valid across the textual and graphical technological spaces and provide definitions, concepts, and realization techniques to foster the reusability of such language parts during DSML development. To this end, we first individually define language components and the various forms of language composition in MontiCore, a textual language workbench, and MagicDraw, a graphical modeling tool, and then describe unified cross-cutting concepts of language components that are crucial in developing variants or families of similar languages valid in both the textual and the graphical technological spaces. These language components that are described regardless of their individual technological spaces ensure the reusability of common language parts, ultimately supporting language engineers in developing complex modular DSMLs in the large.

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Section: Engineering Software Languages In Monticorementioning

confidence: 99%

Section: Language Component Models In Monticorementioning

confidence: 99%

Section: Threats To Validitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Towards Modular Development of Reusable Language Components for Domain-Specific Modeling Languages in the MagicDraw and MontiCore Ecosystems.

Butting,

Gupta,

Jansen

et al. 2023

JOT

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show abstract

“…Much of the work done in MontiCore was heavily influenced by Antonio's work. For instance, Antonio's work on UML profiles (Fuentes-Fernández & Vallecillo-Moreno 2004) inspired us to look at customizability and especially variability of languages (Butting et al 2018(Butting et al , 2021, both on semantics and syntactic elements. A special highlight also was his works on using functional programs and term rewriting techniques available in Maude to breathe behavioral life into the UML (Romero et al 2007;Rivera et al 2009).…”

Section: Conclusion and Dedication To Antonio's Birthdaymentioning

confidence: 99%

A Catalog of Design Patterns for Compositional Language Engineering.

Drux¹,

Jansen²,

Rumpe³

2022

JOT

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When composing a domain-specific language from several language components, it is also necessary to compose analysis and synthesis techniques, which are individually defined on these components in an efficient, ideally black-box form.An effective way of allowing such compositions is to use specific design patterns, which are partly reflected in the tooling code, partly reflected in the language, but also partly reflected in the language workbench (one meta-level higher), and the generated/synthesized product code (one meta-level downward). Based on the experiences gained in compositional language development using the language workbench MontiCore, we in detail discuss several of those design patterns, namely the Mill, the RealThis object composition, the Template/Hook, and the TOP-Generator Patterns, and the hidden complexity of an extended visitor infrastructure coping with the above patterns. The patterns are recorded and described in a reusable way, as usual, allowing readers to participate from the gained insights and possible solutions.

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Model Signatures for Design and Usage of Simulation-Capable Model Networks in MBSE

Husung

Gerhard

Jacobs

et al. 2023

IFIP Advances in Information and Communication Technology

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Compositional Modelling Languages with Analytics and Construction Infrastructures Based on Object-Oriented Techniques—The MontiCore Approach

Cited by 8 publications

References 24 publications

Towards Modular Development of Reusable Language Components for Domain-Specific Modeling Languages in the MagicDraw and MontiCore Ecosystems.

Towards Modular Development of Reusable Language Components for Domain-Specific Modeling Languages in the MagicDraw and MontiCore Ecosystems.

A Catalog of Design Patterns for Compositional Language Engineering.

Model Signatures for Design and Usage of Simulation-Capable Model Networks in MBSE

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