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Models to codewith no mysterious gaps /

Mangogna, Andrew.

Models to codewith no mysterious gaps /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Models to codeby Leon Starr, Andrew Mangogna, Stephen Mellor.
Reminder of title:	with no mysterious gaps /
Author:	Starr, Leon.
other author:	Mangogna, Andrew.
Published:	Berkeley, CA :Apress :2017.
Description:	xxii, 305 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Computer programming.
Online resource:	http://dx.doi.org/10.1007/978-1-4842-2217-1
ISBN:	9781484222171$q(electronic bk.)

Models to codewith no mysterious gaps /
Starr, Leon.

Models to codewith no mysterious gaps /[electronic resource] :by Leon Starr, Andrew Mangogna, Stephen Mellor. - Berkeley, CA :Apress :2017. - xxii, 305 p. :ill., digital ;24 cm.

1. The Modeling Landscape -- 2. A Simple Executable Model -- 3. Making Translation Decisions -- 4. Translating the Air Traffic Control Model -- 5. Model Execution Domain -- 6. An Extended Example -- 7. Sensor and Actuator Service Domain -- 8. Integrating the Application and Service Domains -- 9. Event Polymorphism -- 10. Pycca and Other Platforms -- 11. The Translation Landscape -- Appendix A. Summary of xUML -- Appendix B. Scrall Overview -- Appendix C. Pycca Language Overview -- Appendix D. Bibliography.

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 class processors. 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.

ISBN: 9781484222171$q(electronic bk.)

Standard No.: 10.1007/978-1-4842-2217-1doiSubjects--Topical Terms:

181992
Computer programming.

LC Class. No.: QA76.6

Dewey Class. No.: 005.1

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245 1 0 $a Models to code $h [electronic resource] : $b with no mysterious gaps / $c by Leon Starr, Andrew Mangogna, Stephen Mellor.
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505 0 $a 1. The Modeling Landscape -- 2. A Simple Executable Model -- 3. Making Translation Decisions -- 4. Translating the Air Traffic Control Model -- 5. Model Execution Domain -- 6. An Extended Example -- 7. Sensor and Actuator Service Domain -- 8. Integrating the Application and Service Domains -- 9. Event Polymorphism -- 10. Pycca and Other Platforms -- 11. The Translation Landscape -- Appendix A. Summary of xUML -- Appendix B. Scrall Overview -- Appendix C. Pycca Language Overview -- Appendix D. Bibliography.
520 $a 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 class processors. 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.
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