Verification of Structural and Extra-Functional Properties in Component and Connector Models for Embedded and Cyber-Physical Systems

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39,80 

Aachener Informatik Berichte Software Engineering 44

ISBN: 384407239X
ISBN 13: 9783844072396
Autor: von Wenckstern, Michael
Verlag: Shaker Verlag GmbH
Umfang: 467 S.
Erscheinungsdatum: 09.03.2020
Auflage: 1/2020
Produktform: Kartoniert
Einband: Kartoniert
Artikelnummer: 8610808 Kategorie:

Beschreibung

The industry area of embedded and cyber-physical systems is one of the largest; examples are: automotive, avionics, robotics, railway, and production industry. Modelbased engineering, esp. component and connector (C&C) models to describe logical architectures, is a common approach to handle the large complexity of embedded systems. Components encapsulate software features; hierarchical decomposition of components enables formulating logical architectures in a topdown approach. Connectors in C&C models describe the information exchange via typed ports. Current development of complex C&C-based embedded systems in industry mostly involves the following steps: (1) formulating functional and extra-functional requirements as text; (2) creating SysML design models of the architecture; (3) developing complete logical model in Simulink; and (4) system implementation in C/C++ satisfying all extra-functional properties. This current development process has the following disadvantages: (a) SysML models are not formalized; (b) check between informal SysML architecture design against the Simulink model is done manually, and thus, error-prone and time-consuming; (c) refactoring of Simulink models needs manual effort in updating the design model; and (d) in most tools extra-functional properties are modeled as comments, and thus, consistencies between them are checked manually. This thesis aims to improve the software development process of large and complex C&C models for embedded systems by providing model-based methodologies to develop, understand, validate and maintain these C&C models. Prototype implementations and an industrial case study show promising results in improving the model-based development process of embedded systems in industry.

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