Modeling Architectures of Cyber-Physical Systems

Kusmenko, Evgeny; Roth, Alexander; Rumpe, Bernhard; Wenckstern, Michael von

doi:10.1007/978-3-319-61482-3_3

Cited by 18 publications

(6 citation statements)

References 17 publications

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“…Component and Connector (C&C) models are widely used to design and develop CPS to display features and their logical interactions. The advantage of C&C models is that complex functions can be subdivided hierarchically into sub-functions developed and managed by different domain experts [29].…”

Section: Component Modelling Methodsmentioning

confidence: 99%

“…Due to the hierarchical division of components, different stakeholders can build extensive and complex systems by dividing them. Simulink and LabView are excellent examples of C&C languages used both in the academic world and in the industry [29]. Table I presents a comparison of C&C tools and standards in CPS modelling languages [29].…”

Section: Component Modelling Methodsmentioning

confidence: 99%

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Brief Overview of Modelling Methods, Life-Cycle and Application Domains of Cyber-Physical Systems

Babris

Nikiforova

Sukovskis

2019

Applied Computer Systems

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Cyber-Physical Systems (CPSs) are systems that connect the physical world with the virtual world of information processing. They consist of various components that work together to create some global behaviour. These components include software systems, communication technologies and sensors, executive mechanisms that interact with the real world, often including embedded technologies. One CPS may include a variety of components from different manufacturers or service providers, often without even knowing that their products and services are integrated with others as a result of CPS. This paper systematises information about CPS modelling methods and domains and presents the CPS modelling cycle – from abstraction to architecture and from concept to realisation.

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Section: Component Modelling Methodsmentioning

confidence: 99%

Section: Component Modelling Methodsmentioning

confidence: 99%

Brief Overview of Modelling Methods, Life-Cycle and Application Domains of Cyber-Physical Systems

Babris

Nikiforova

Sukovskis

2019

Applied Computer Systems

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“…Although these projects reside in different locations, i.e., version control repositories, they are still related to each other. More specifically, our goal was to perform architectural compliance checking for the MontiCar family, a family of projects developed in the context of autonomous driving and other automotive related topics [KRRvW17,KRSvW18,KNP + 19].…”

Section: Monticar Repositoriesmentioning

confidence: 99%

Applied Artifact-Based Analysis for Architecture Consistency Checking

Greifenberg

Hillemacher

Hölldobler

2020

Ernst Denert Award for Software Engineering 2019

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The usage of models within model-driven software development aims at facilitating complexity management of the system under development and closing the gap between the problem and the solution domain. Utilizing model-driven software development (MDD) tools for agile development can also increase the complexity within a project. The huge number of different artifacts and relations, their different kinds, and the high degree of automation hinder the understanding, maintenance, and evolution within MDD projects. A systematic approach to understand and manage MDD projects with a focus on its artifacts and corresponding relations is necessary to handle the complexity. The artifact-based analysis presented in this paper is such an approach. This paper gives an overview of different contributions of the artifact-based analysis but focuses on a specific kind of analysis: architecture consistency checking of model-driven development projects. By applying this kind of analyses, differences between the desired architecture and the actual architecture of the project at a specific point in time can be revealed.

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“…Furthermore, it needs to exchange components based on environmental events. The modeling language should allow one to model such architectural changes accordingly, which leads to our main requirement: The dynamic C&C reconfiguration framework presented in this paper has been developed as an extension to the EmbeddedMontiArc language family [KRRvW17,KRSvW18,KRRvW18]. EmbeddedMontiArc is a textual C&C ADL focusing on modeling CPS by providing a strict matrix-based type system including matrix property assertions, SI-unit support, and a performance-optimized compiler toolchain.…”

Section: Background and Requirementsmentioning

confidence: 99%

Modeling Dynamic Architectures of Self-Adaptive Cooperative Systems.

Kaminski¹,

Kusmenko²,

Rumpe³

2019

JOT

Self Cite

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The component and connector modeling paradigm has proven to be a powerful means for the design of complex systems in engineering domains like avionics, automotive, and cyber-physical systems. Many component and connector languages are limited to the description of static architectures. However, agents like autonomous vehicles living in a changing world need to be able to adapt themselves to unforeseen situations and communicate with a steadily changing network of peers. In this work we present a dynamic event-based reconfiguration modeling framework for the component and connector-based design of self-adaptive cooperative agents. Therefore, we introduce the concepts of data-triggered and servicebased reconfiguration and enable modeling controlled dynamic component creation as well as adaptations of component interfaces without losing type-safety. The methodology is motivated and explained using a running example from the domain of cooperating vehicles.

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Modeling Architectures of Cyber-Physical Systems

Cited by 18 publications

References 17 publications

Brief Overview of Modelling Methods, Life-Cycle and Application Domains of Cyber-Physical Systems

Brief Overview of Modelling Methods, Life-Cycle and Application Domains of Cyber-Physical Systems

Applied Artifact-Based Analysis for Architecture Consistency Checking

Modeling Dynamic Architectures of Self-Adaptive Cooperative Systems.

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