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Model-Based Engineering of Embedded Systems - The SPES 2020 Methodology (Paperback)
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Model-Based Engineering of Embedded Systems - The SPES 2020 Methodology (Paperback)
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Embedded systems have long become essential in application areas in
which human control is impossible or infeasible. The development of
modern embedded systems is becoming increasingly difficult and
challenging because of their overall system complexity, their
tighter and cross-functional integration, the increasing
requirements concerning safety and real-time behavior, and the need
to reduce development and operation costs. This book provides a
comprehensive overview of the Software Platform Embedded Systems
(SPES) modeling framework and demonstrates its applicability in
embedded system development in various industry domains such as
automation, automotive, avionics, energy, and healthcare. In SPES
2020, twenty-one partners from academia and industry have joined
forces in order to develop and evaluate in different industrial
domains a modeling framework that reflects the current state of the
art in embedded systems engineering. The content of this book is
structured in four parts. Part I "Starting Point" discusses the
status quo of embedded systems development and model-based
engineering, and summarizes the key requirements faced when
developing embedded systems in different application domains. Part
II "The SPES Modeling Framework" describes the SPES modeling
framework. Part III "Application and Evaluation of the SPES
Modeling Framework" reports on the validation steps taken to ensure
that the framework met the requirements discussed in Part I.
Finally, Part IV "Impact of the SPES Modeling Framework" summarizes
the results achieved and provides an outlook on future work. The
book is mainly aimed at professionals and practitioners who deal
with the development of embedded systems on a daily basis.
Researchers in academia and industry may use it as a compendium for
the requirements and state-of-the-art solution concepts for
embedded systems development.
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