Abstract
In the last few years, the Internet of Things (IoT) has emerged as a new paradigm aimed at providing technological solutions for the monitoring and control of physical entities (so-called objects - cars, furniture, buildings). These new solutions encompass heterogeneous devices capable of: capturing information about the physical entities to which they are attached and/or the environment in which they are inserted, performing sensing tasks; acting on the physical domain, performing actuation tasks; and communicating with each other and/or with other systems via the Internet to achieve common goals. However, Designing systems of this kind is a real challenge and modeling with UML is consolidating itself as a resource to surmount this challenge. To deal with this situation, we contribute by proposing an adaptation of UML2.5 to IoT systems. It is in this context that we have defined a UML2.5 profile for the IoT system. This profile includes a set of stereotypes applied to meta-classes from the UML2.5 meta-model. These stereotypes are complemented by formal constraints in OCL. These extensions allow to improve the consistency checking of reusable system architectures.
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Ltaief, M., Hussein Toman, S., Hamel, L. (2022). UML Profile for IoT-Based Applications. In: Bădică, C., Treur, J., Benslimane, D., Hnatkowska, B., Krótkiewicz, M. (eds) Advances in Computational Collective Intelligence. ICCCI 2022. Communications in Computer and Information Science, vol 1653. Springer, Cham. https://doi.org/10.1007/978-3-031-16210-7_42
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DOI: https://doi.org/10.1007/978-3-031-16210-7_42
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