What can we learn from other Domains – An exploratory process for the extension of a language based on cross-domain knowledge transfer
Jutz, Benedikt
1; Zacouris, Zenon 2; Weber, Thomas
1; Acosta, Maribel 2; Reussner, Ralf 1; Burger, Erik
1
1 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
2 Technische Universität München (TUM)
1; Zacouris, Zenon 2; Weber, Thomas
1; Acosta, Maribel 2; Reussner, Ralf 1; Burger, Erik
11 Institut für Informationssicherheit und Verlässlichkeit (KASTEL), Karlsruher Institut für Technologie (KIT)
2 Technische Universität München (TUM)
Abstract (englisch):
In an increasingly digital and interconnected world, cross-domain collaboration is essential for building sustainable and adaptable systems.
This paper explores how concepts already implemented in one domain can be transferred into the languages used in another domain to support the customization of domain-specific modeling languages.
We propose a methodology for this domain-tuning of languages by identifying and leveraging overlapping concept needs between domains.
We demonstrate the applicability of our approach through the transfer of the concept of consistency from database management systems to model-driven engineering, mapping, e.g., the concepts of primary keys from databases to model element identity.
Our proposed approach enables the fine-tuning of modeling languages to better align with the needs of specific application domains by re-using existing language concepts across the borders of domains.
The result is an exploratory language engineering process that enhances the integration and expressiveness of modeling languages by crossing domain boundaries.
We plan to apply our approach to other domains to gain further insights into its applicability.
This paper explores how concepts already implemented in one domain can be transferred into the languages used in another domain to support the customization of domain-specific modeling languages.
We propose a methodology for this domain-tuning of languages by identifying and leveraging overlapping concept needs between domains.
We demonstrate the applicability of our approach through the transfer of the concept of consistency from database management systems to model-driven engineering, mapping, e.g., the concepts of primary keys from databases to model element identity.
Our proposed approach enables the fine-tuning of modeling languages to better align with the needs of specific application domains by re-using existing language concepts across the borders of domains.
The result is an exploratory language engineering process that enhances the integration and expressiveness of modeling languages by crossing domain boundaries.
We plan to apply our approach to other domains to gain further insights into its applicability.
| Zugehörige Institution(en) am KIT | Institut für Informationssicherheit und Verlässlichkeit (KASTEL) |
| Publikationstyp | Proceedingsbeitrag |
| Publikationsdatum | 05.10.2025 |
| Sprache | Englisch |
| Identifikator | KITopen-ID: 1000185170 |
| HGF-Programm | 46.23.01 (POF IV, LK 01) Methods for Engineering Secure Systems |
| Erschienen in | Proceedings of the ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems, Grand Rapids, MI, USA, 5th-10th October 2025 |
| Veranstaltung | 28th ACM/IEEE International Conference of Model-Driven Engineering Languages and Systems (MoDELS 2025), Grand Rapids, MI, USA, 05.10.2025 – 10.10.2025 |
| Verlag | Institute of Electrical and Electronics Engineers (IEEE) |
| Projektinformation | SFB 1608/1, 501798263 (DFG, DFG KOORD, SFB 1608) |
| Bemerkung zur Veröffentlichung | in press |
| Schlagwörter | language engineering, language fine-tuning, language customization, cross-domain collaboration |