Semantically consistent transformation of behavioral and structural models
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
The use of multiple conceptual models and model transformations has been gaining increased research interest in recent years. However, several challenges, such as redundancy, inconsistency, complexity, maintainability, and language variations, still need to be addressed. The research question for this paper is how a semantically consistent model transformation can be achieved from different perspectives. To answer this question, the paper follows the design science research methodology. It presents three research objectives focused on reducing complexity, achieving clear traceability, and semantically consistent bi-directional transformation of models.
Details
Originalsprache | Englisch |
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Titel | Proceedings - 2023 IEEE 25th Conference on Business Informatics, CBI 2023 |
Herausgeber (Verlag) | IEEE |
Seiten | 221-230 |
Seitenumfang | 10 |
ISBN (elektronisch) | 9798350315158 |
Publikationsstatus | Veröffentlicht - Juni 2023 |
Peer-Review-Status | Ja |
Externe IDs
WOS | 001042459700025 |
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Mendeley | c72e2e05-622c-378c-829c-cfb5a6b26d01 |
Scopus | 85168418103 |
Schlagworte
Forschungsprofillinien der TU Dresden
DFG-Fachsystematik nach Fachkollegium
Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis
Ziele für nachhaltige Entwicklung
ASJC Scopus Sachgebiete
Schlagwörter
- Model transformation, Model-driven engineering, Multiple models, Role-based modeling, model transformation, model-driven engineering, role-based modeling, multiple models