One of the most significant challenges in the development of
embedded and cyber-physical systems is the gap between the
disciplines of software and control engineering. In a marketplace,
where rapid innovation is essential, engineers from both
disciplines need to be able to explore system designs
collaboratively, allocating responsibilities to software and
physical elements, and analyzing trade-offs between them.
To this end, this book presents a framework that allows the very
different kinds of design models "discrete-event (DE) "models of
software and "continuous time (CT)" models of the physical
environment to be analyzed and simulated jointly, based on common
scenarios. The individual chapters provide introductions to both
sides of this co-simulation technology, and give a step-by-step
guide to the methodology for designing and analyzing co-models.
They are grouped into three parts: Part I introduces the technical
basis for collaborative modeling and simulation with the Crescendo
technology. Part II continues with different methodological
guidelines for creating co-models and analyzing them in different
ways using case studies. Part III then delves into more advanced
topics and looks into the potential future of this technology in
the area of cyber-physical systems. Finally various appendices
provide summaries of the VDM and 20-sim technologies, a number of
valuable design patterns applicable for co-models, and an acronym
list along with indices and references to other literature. By
combining descriptions of the underlying theory with records of
real engineers experience in using the framework on a series of
case studies the book appeals to scientists and practitioners
alike. It is complemented by tools, examples, videos, and other
material on www.crescendotool.org.Scientists/researchers and
graduate students working in embedded and cyber-physical systems
will learn the semantic foundations for collaborative modeling and
simulation, as well as the current capabilities and limitations of
methods and tools in this field. Practitioners will be able to
develop an appreciation of the capabilities of the co-modeling
techniques, to assess the benefits of more collaborative approaches
to modeling and simulation, and will benefit from the included
guidelines and modeling patterns."
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