Authors: Kérian Fiter, Louis Malassigné-Onfroy, Bentley Oakes
Preprint: https://arxiv.org/pdf/2508.18431
Official URL: https://doi.org/10.1109/models-c68889.2025.00030
Live demo: https://oakeslabmtl.github.io/DTDF/
Presentation: DTInsight_Presentation_EDTconf_2025.pdf
Poster: DTInsight_Poster.pdf
Code: https://github.com/oakeslabmtl/DTInsight
Abstract: 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.
@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}}