Modeling and Digital Twins: Insights and Strategies for Software Engineers
Software modeling and digital twins are transforming the way software engineers design, operate, and maintain complex systems. In this column, we highlight cutting-edge research presented at the ACM/IEEE 27th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2024) and the 1st International Conference on Engineering Digital Twins (EDTconf 2024). The selected papers tackle critical challenges in improving system understanding, enhancing stakeholder communication, streamlining design and development processes, optimizing lifecycles, and enabling seamless integration of complex systems.
Authors
- Silvia Abrahão (ORCID: https://orcid.org/0000-0003-3580-2014)
- Miroslaw Staron (ORCID: https://orcid.org/0000-0002-9052-0864)
- Judith Michael (ORCID: https://orcid.org/0000-0002-4999-2544)
- Marsha Chećhik (ORCID: https://orcid.org/0000-0002-6301-3517)
- Benoît Combemale (ORCID: https://orcid.org/0000-0002-7104-7848)
Institutions
- University of Toronto (CA)
- Université de Rennes (FR)
- Chalmers University of Technology (SE)
- University of Gothenburg (SE)
- RWTH Aachen University (DE)
Publication Details
- Journal
- IEEE Software
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ms.2024.3510892
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00