Towards a Classification Framework for the Digital Twin Tools: A Taxonomy

Mert Ozkaya, Alper Turunc

2025

Abstract

Digital twins (DTs) have gained an ever-increasing popularity in many industries for the real-time monitoring of physical systems and performing useful operations such as predictive maintenance and early fault detection. Many commercial and open-source DT tools are available on the market, which offer services or development environment for developing and using DTs. However, our research shows that practitioners still use conventional programming technologies for developing DTs in-house rather than using the DT-specific tools. We believe that one reason here is to do with the lack of any taxonomy for the determining the DT tools that are of use for the practitioners. In this paper, we propose our attempt for a classification framework that can be used for analysing and comparing different DT tools. Having reviewed the literature and practitioners’ needs, we addressed twelve main features for DT tools, which are divided into sub-features. These are (i) domain, (ii) deployment, (iii) type, (iv) maturity, (v) knowledge management, (vi) system integration, (vii) quality assurance, (viii) reusability, (ix) extensibility, (x) abstraction, (xi) enabling technology, and (xii) development platform. We believe that our classification framework will be useful for different stakeholders: (i) practitioners who wish to develop and use DTs, (ii) tool vendors who can determine strengths and weaknesses of their tools, (iii) researchers who address the tool weaknesses.

Paper Citation

in Harvard Style

Ozkaya M. and Turunc A. (2025). Towards a Classification Framework for the Digital Twin Tools: A Taxonomy. In Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD; ISBN 978-989-758-729-0, SciTePress, pages 263-272. DOI: 10.5220/0013239900003896

in Bibtex Style

@conference{modelsward25,
author={Mert Ozkaya and Alper Turunc},
title={Towards a Classification Framework for the Digital Twin Tools: A Taxonomy},
booktitle={Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD},
year={2025},
pages={263-272},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013239900003896},
isbn={978-989-758-729-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - Volume 1: MODELSWARD
TI - Towards a Classification Framework for the Digital Twin Tools: A Taxonomy
SN - 978-989-758-729-0
AU - Ozkaya M.
AU - Turunc A.
PY - 2025
SP - 263
EP - 272
DO - 10.5220/0013239900003896
PB - SciTePress