Semantically consistent transformation of behavioral and structural models

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


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.


Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 25th Conference on Business Informatics, CBI 2023
Number of pages10
ISBN (electronic)9798350315158
Publication statusPublished - Jun 2023

External IDs

WOS 001042459700025
Mendeley c72e2e05-622c-378c-829c-cfb5a6b26d01
Scopus 85168418103


Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards


  • Model transformation, Model-driven engineering, Multiple models, Role-based modeling, model transformation, model-driven engineering, role-based modeling, multiple models