Architecting Cloud Services for the Digital Me in a Privacy-Aware Environment

Eikermann, Robert; Look, Markus; Roth, Alexander; Rumpe, Berhard; Wortmann, Andreas

doi:10.1016/b978-0-12-805467-3.00012-0

Cited by 2 publications

(1 citation statement)

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“…For a given grammar, MontiCore generates infrastructure necessary to efficiently engineer languages in a modular fashion. It has been applied to the engineering of modeling languages for a variety of domains, including automotive (DGH+19 2019), cloud services (Eikermann et al 2017), robotics (AHRW17b 2017), systems engineering (DJR+19 2019), and more. The generated infrastructure for a given grammar includes parser and lexer, Java classes for the abstract syntax tree (AST), an infrastructure to implement context conditions (language well-formedness rules), visitors (HMSNRW16 2016) to develop 1 MontiCore project on GitHub: https://github.com/MontiCore/monticore/ A MontiCore grammar defines both the abstract syntax and concrete syntax of a language.…”

Section: Monticore Language Workbenchmentioning

confidence: 99%

A Library of Literals, Expressions, Types, and Statements for Compositional Language Design.

Butting¹,

Reikermannobert²,

Hölldobler³

et al. 2020

JOT

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Many modeling languages share common concepts, such as types, expressions, statements, or literals. Nonetheless, these essential language concerns are often developed again and again, independently, and with minor changes here and there. A well-designed and extensible library of such, tried-and-tested, language components can facilitate engineering new languages through their reuse. We utilize the powerful language composition techniques of the MontiCore language workbench to conceive such a library, present its components, and their rationale. This fosters language engineering in MontiCore and can inspire more efficient language engineering in the technological spaces of other language workbenches.

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Section: Monticore Language Workbenchmentioning

confidence: 99%