Abstract
Domain-specific languages enable concise and precise formalization of domain concepts and promote direct employment by domain experts. Therefore, syntactic constructs are introduced to empower users to associate concepts and relationships with visual textual symbols. Model-based language engineering facilitates the description of concepts and relationships in an abstract manner. However, concrete representations are commonly attached to abstract do-main representations, such as annotations in metamodels, or directly encoded into language grammar and thus introduce redundancy between metamodel elements and grammar elements. In this work, we propose an approach that enables autonomous development and maintenance of domain concepts and textual language notations in a distinctive and metamodel-agnostic manner by employing style models containing grammar rule templates and injection-based property selection. We provide an implementation and showcase the proposed notation-specification language in a comparison with state of the art practices during the creation of notations for an executable domain-specific modeling language based on the Eclipse Modeling Framework and Xtext.
| Originalsprache | Englisch |
|---|---|
| Titel | 19th International Workshop in OCL and Textual Modeling (OCL 2019) co-located with IEEE/ACM 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS 2019), Munich, Germany, September 16, 2019 |
| Herausgeber*innen | CEUR-WS.org |
| Seiten | 67-80 |
| Seitenumfang | 14 |
| Band | 2513 |
| Publikationsstatus | Veröffentlicht - Feb. 2020 |
Wissenschaftszweige
- 202017 Embedded Systems
- 102002 Augmented Reality
- 102006 Computer Supported Cooperative Work (CSCW)
- 102015 Informationssysteme
- 102020 Medizinische Informatik
- 102022 Softwareentwicklung
- 102034 Cyber-Physical Systems
- 201132 Computational Engineering
- 201305 Verkehrstechnik
- 207409 Navigationssysteme
- 502032 Qualitätsmanagement
- 502050 Wirtschaftsinformatik
- 503015 Fachdidaktik Technische Wissenschaften
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Abgeschlossen
-
Christian Doppler Laboratory for Model-Integrated Smart Production
Eisenberg, M. (Forscher*in), Gemeinhardt, F. (Forscher*in), Govindasami, H. S. (Forscher*in), Jayaraman, R. (Forscher*in), Mitter, A. (Forscher*in), Sindelar, R. (Forscher*in), Sint, S. (Forscher*in), Taspinar, B. (Forscher*in) & Wimmer, M. (Projektleiter*in)
01.01.2017 → 31.12.2023
Projekt: Geförderte Forschung › CDG - Christian Doppler Forschungsgesellschaft
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