| 書目名稱 | Models to Code |
| 副標(biāo)題 | With No Mysterious G |
| 編輯 | Leon Starr,Andrew Mangogna,Stephen Mellor |
| 視頻video | http://file.papertrans.cn/637/636856/636856.mp4 |
| 概述 | Highly pragmatic approach leaving models intact throughout the design process rather than destructing the model.Techniques can be applied to any language or platform and adapted for your own implement |
| 圖書封面 |  |
| 描述 | .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 |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Modelling; code models; code efficiency; coding; programming |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4842-2217-1 |
| isbn_softcover | 978-1-4842-2216-4 |
| isbn_ebook | 978-1-4842-2217-1 |
| copyright | Leon Starr, Andrew Mangogna and Stephen Mellor 2017 |
|Archiver|手機版|小黑屋|
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