Learn how to translate an executable model of your application into running code. This is not a
book about theory good intentions or possible future developments. You'll benefit from
translation technology and solid software engineering principles that are demonstrated with
concrete examples using an open source tool chain. Models don't deliver enough value if they
are not on a direct path to code production. But to waste time building models that are merely
pictures of your code doesn't add much value either. In this book you'll translate detailed
yet platform-independent models that solve real application problems. Using a pragmatic
approach Models to Code quickly dives into two case studies of Executable UML models. The
models and code are extensively annotated and illustrate key principles that are emphasized
throughout the book. You'll work with code production using C as the implementation language
and targeting microcomputer classprocessors. This might not be your particular target language
or platform but you can use you can use what you learn here to engineer or re-evaluate your
own code translation system to dramatically increase the value of both your modeling and code
generation solution. Written by three leading experts Models to Code is an exceptional
resource for producing software by model translation- add it to your library today. What You'll
Learn See how detailed models resolve ambiguity and contradiction common in requirements.
Examine how a model can be detailed enough to be executable and testable while remaining
platform independent Produce code from a model leaving the model intact so it can be
redeployed on new platforms or adapted to changing software and hardware technology. Implement
platform independent model execution rules in platform specific run-time code Who This Book Is
For Modelers and systems engineers on active MBSE projects (using Executable UML or not)
projects using Simulink Matlab Dymola MatrixX and other math modelling tools. Any developers
with current or past model experience professors students systems engineers embedded
systems developers or anyone interested in learning more about software modelling.
