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35,80 €ISBN 978-3-8191-0196-0Paperback282 Seiten104 Abbildungen530 g24 x 17 cmEnglischHabilitationsschrift
September 2025
Judith Michael
Model-Driven Engineering of Digital Twins with Informative and Assistive Services
Digital twins are complex software systems that accompany cyber-physical systems. Their engineering involves challenging research topics to address system, time, integration, and information complexity. Modeling techniques help master the complexity of long-living systems, and combined with generative methods, models of cyber-physical systems can be used for digital twin engineering and evolution. Thus, it is essential to investigate how model-driven engineering methods can be applied and improved so that they are applicable and beneficial for digital twin engineering.
This thesis summarizes 9 selected publications of a research program towards the application and improvement of model-driven methods for the engineering of digital twins. Digital twins encompass a diverse range of services, e.g., data collection, aggregation, analysis, prediction, execution, information, and assistance. Moreover, digital twins from different domains share similarities, such as their reliance on sensory information as supplemental data sources, connections to third-party applications for additional information, requiring data-intensive operations and visualizations, and utilizing models derived from data during runtime. Architectural components systematically capture these functionalities. We have explored how to describe such architectural components to be usable and reusable for model-driven engineering. Additionally, we have investigated how model-driven engineering can be applied to derive parts of digital twins, determining the use of both general-purpose and domain-specific modeling languages for their engineering and execution. This work contributes to an improved development of digital twins for complex, long-living systems with foundations, concepts, and methods.
This thesis summarizes 9 selected publications of a research program towards the application and improvement of model-driven methods for the engineering of digital twins. Digital twins encompass a diverse range of services, e.g., data collection, aggregation, analysis, prediction, execution, information, and assistance. Moreover, digital twins from different domains share similarities, such as their reliance on sensory information as supplemental data sources, connections to third-party applications for additional information, requiring data-intensive operations and visualizations, and utilizing models derived from data during runtime. Architectural components systematically capture these functionalities. We have explored how to describe such architectural components to be usable and reusable for model-driven engineering. Additionally, we have investigated how model-driven engineering can be applied to derive parts of digital twins, determining the use of both general-purpose and domain-specific modeling languages for their engineering and execution. This work contributes to an improved development of digital twins for complex, long-living systems with foundations, concepts, and methods.
Schlagwörter: Digital Twins; Digital Twin Engineering; Model-Driven Engineering; Software Language Engineering; Digital Twin Cockpits; Assistive Systems; Informative Services; Cyper-Physical Systems
Aachener Informatik-Berichte, Software Engineering
Herausgegeben von Prof. Dr. rer. nat. Bernhard Rumpe, Aachen
Band 60
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Elektronische Publikation (PDF): 978-3-8191-0269-1
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