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oapen-20.500.12657-461142021-01-14T03:07:55Z Model-Based Engineering of Collaborative Embedded Systems Böhm, Wolfgang Broy, Manfred Klein, Cornel Pohl, Klaus Rumpe, Bernhard Schröck, Sebastian Software Engineering Software Management Automotive Engineering Special Purpose and Application-Based Systems IT in Business Model-Driven Software Development Requirements Engineering Automotive Software Engineering Embedded Systems Open Access SPES Methodology Simulation Co-Design of Systems Business mathematics & systems Business applications Automotive technology & trades Automotive (motor mechanic) skills Expert systems / knowledge-based systems bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMZ Software Engineering bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJQ Business mathematics & systems bic Book Industry Communication::T Technology, engineering, agriculture::TR Transport technology & trades::TRC Automotive technology & trades bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQE Expert systems / knowledge-based systems 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. 2021-01-13T08:56:55Z 2021-01-13T08:56:55Z 2021 book ONIX_20210113_9783030621360_20 https://library.oapen.org/handle/20.500.12657/46114 eng application/pdf n/a 2021_Book_Model-BasedEngineeringOfCollab.pdf https://www.springer.com/9783030621360 Springer Nature Springer 10.1007/978-3-030-62136-0 10.1007/978-3-030-62136-0 6c6992af-b843-4f46-859c-f6e9998e40d5 Springer 404 open access
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OAPEN
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English
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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.
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2021_Book_Model-BasedEngineeringOfCollab.pdf
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title_short |
2021_Book_Model-BasedEngineeringOfCollab.pdf
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title_full |
2021_Book_Model-BasedEngineeringOfCollab.pdf
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title_fullStr |
2021_Book_Model-BasedEngineeringOfCollab.pdf
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2021_Book_Model-BasedEngineeringOfCollab.pdf
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2021_book_model-basedengineeringofcollab.pdf
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Springer Nature
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2021
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https://www.springer.com/9783030621360
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1771297610282303488
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