Semantically consistent transformation of behavioral and structural models
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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
Original language | English |
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Title of host publication | Proceedings - 2023 IEEE 25th Conference on Business Informatics, CBI 2023 |
Publisher | IEEE |
Pages | 221-230 |
Number of pages | 10 |
ISBN (electronic) | 9798350315158 |
Publication status | Published - Jun 2023 |
Peer-reviewed | Yes |
External IDs
WOS | 001042459700025 |
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Mendeley | c72e2e05-622c-378c-829c-cfb5a6b26d01 |
Scopus | 85168418103 |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Model transformation, Model-driven engineering, Multiple models, Role-based modeling, model transformation, model-driven engineering, role-based modeling, multiple models