Publications

Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering

Kérian Fiter, Adil Lagrou, Bentley Oakes
2026 · 2026 ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
@inproceedings{Fiter2026,
author = {Fiter, K{\'e}rian and Lagrou, Adil and Oakes, Bentley and Dervault, Franck},
title = {Involving before Evolving: A Vision for Trustworthy Enterprise Digital Twin Engineering},
booktitle = {ACM/IEEE 29th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS Companion)},
year = {2026},
month = oct,
pages = {1--5},
doi = {10.1145/3837062.3839094},
keywords = {Enterprise Digital Twin, Digital Twin, What-if Analysis, Uncertainty, Trust, Federation, Ontologies, Foundation Models, Large Language Models},
note = {Accepted for publication; author pre-print available.},
}
Enterprise Digital Twins (EDTs) promise data-driven decision support at organizational scale, but realizing them requires navigating siloed departments, tacit knowledge, and high-stakes decisions with long-horizon consequences. Existing approaches involve domain experts during model development but focus less on early organizational buy-in in EDTs. We present a vision for trustworthy EDT engineering grounded in an `involving before evolving’ paradigm: rapidly involving stakeholders through a working prototype before evolving toward federation and full interoperability. Our three-stage approach combines foundation models for rapid prototyping, an ontological backbone for federated interoperability, and observability tooling for stakeholder trust. We ground our vision in an ongoing collaboration with Michelin, a multinational manufacturer, where an initial prototype has helped support stakeholder buy-in.

DTInsight: A Tool for Explicit, Interactive, and Continuous Digital Twin Reporting

Kérian Fiter, Louis Malassigné-Onfroy, Bentley Oakes
2025 · 2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)
@INPROCEEDINGS{fiter2025dtinsight,
author={Fiter, Kérian and Malassigné-Onfroy, Louis and Oakes, Bentley},
booktitle={2025 ACM/IEEE 28th International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)}, 
title={DTInsight: A Tool for Explicit, Interactive, and Continuous Digital Twin Reporting}, 
year={2025},
volume={},
number={},
pages={139-143},
keywords={Visualization;Three-dimensional displays;Systematics;Data visualization;Ontologies;Real-time systems;Software;Digital twins;Stakeholders;Monitoring;digital twins;software visualization;software documentation;decision-making;ontologies;OML;monitoring},
doi={10.1109/MODELS-C68889.2025.00030}}
With Digital Twin (DT) construction and evolution occurring over time, stakeholders require tools to understand the current characteristics and conceptual architecture of the system at any time. We introduce DTInsight, a systematic and automated tool and methodology for producing continuous reporting for DTs. DTInsight offers three key features: (a) an interactive conceptual architecture visualization of DTs; (b) generation of summaries of DT characteristics based on ontological data; and (c) integration of these outputs into a reporting page within a continuous integration and continuous deployment (CI/CD) pipeline. Given a modeled description of the DT aligning to our DT Description Framework (DTDF), DTInsight enables up-to-date and detailed reports for enhanced stakeholder understanding.