Model-Based Engineering of Collaborative Embedded Systems - Extensions of the SPES Methodology (Hardcover, 1st ed. 2021)

This Open Access book presents the results of the "Collaborative Embedded Systems" (CrESt) project, aimed at adapting and complementing the methodology underlying modeling techniques developed to cope with the challenges of the dynamic structures of collaborative embedded systems (CESs) based on the SPES development methodology. In order to manage the high complexity of the individual systems and the dynamically formed interaction structures at runtime, advanced and powerful development methods are required that extend the current state of the art in the development of embedded systems and cyber-physical systems. The methodological contributions of the project support the effective and efficient development of CESs in dynamic and uncertain contexts, with special emphasis on the reliability and variability of individual systems and the creation of networks of such systems at runtime. The project was funded by the German Federal Ministry of Education and Research (BMBF), and the case studies are therefore selected from areas that are highly relevant for Germany's economy (automotive, industrial production, power generation, and robotics). It also supports the digitalization of complex and transformable industrial plants in the context of the German government's "Industry 4.0" initiative, and the project results provide a solid foundation for implementing the German government's high-tech strategy "Innovations for Germany" in the coming years.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	December 2020
First published:	2021
Editors:	Wolfgang Boehm • Manfred Broy • Cornel Klein • Klaus Pohl • Bernhard Rumpe • Sebastian Schroeck
Dimensions:	240 x 168mm (L x W)
Format:	Hardcover
Pages:	404
Edition:	1st ed. 2021
ISBN-13:	978-3-03-062135-3
Categories:	Books > Computing & IT > Computer programming > Software engineering Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Professional & Technical > Transport technology > Automotive technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	3-03-062135-9
Barcode:	9783030621353

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