Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1)

(7)
Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1) image
ISBN-10:

1608458822

ISBN-13:

9781608458820

Edition: 1
Released: Apr 15, 2013
Publisher: Morgan Claypool
Format: Paperback, 166 pages

Description:

This book discusses how model-based approaches can improve the daily practice of software professionals. This is known as Model-Driven Software Engineering (MDSE) or, simply, Model-Driven Engineering (MDE). MDSE practices have proved to increase efficiency and effectiveness in software development, as demonstrated by various quantitative and qualitative studies. MDSE adoption in the software industry is foreseen to grow exponentially in the near future, e.g., due to the convergence of software development and business analysis. The aim of this book is to provide you with an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away. The book is organized into two main parts. The first part discusses the foundations of MDSE in terms of basic concepts (i.e., models and transformations), driving principles, application scenarios and current standards, like the well-known MDA initiative proposed by OMG (Object Management Group) as well as the practices on how to integrate MDSE in existing development processes. The second part deals with the technical aspects of MDSE, spanning from the basics on when and how to build a domain-specific modeling language, to the description of Model-to-Text and Model-to-Model transformations, and the tools that support the management of MDSE projects. The book is targeted to a diverse set of readers, spanning: professionals, CTOs, CIOs, and team managers that need to have a bird's eye vision on the matter, so as to take the appropriate decisions when it comes to choosing the best development techniques for their company or team; software analysts, developers, or designers that expect to use MDSE for improving everyday work productivity, either by applying the basic modeling techniques and notations or by defining new domain-specific modeling languages and applying end-to-end MDSE practices in the software factory; and academic teachers and students to address undergrad and postgrad courses on MDSE. In addition to the contents of the book, more resources are provided on the book's website http://www.mdse-book.com/, including the examples presented in the book. Table of Contents: Introduction / MDSE Principles / MDSE Use Cases / Model-Driven Architecture (MDA) / Integration of MDSE in your Development Process / Modeling Languages at a Glance / Developing your Own Modeling Language / Model-to-Model Transformations / Model-to-Text Transformations / Managing Models / Summary

Best prices to buy, sell, or rent ISBN 9781608458820




Related Books

Frequently Asked Questions about Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1)

You can buy the Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1) book at one of 20+ online bookstores with BookScouter, the website that helps find the best deal across the web. Currently, the best offer comes from and is $ for the .

The price for the book starts from $8.49 on Amazon and is available from 3 sellers at the moment.

If you’re interested in selling back the Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1) book, you can always look up BookScouter for the best deal. BookScouter checks 30+ buyback vendors with a single search and gives you actual information on buyback pricing instantly.

As for the Model-Driven Software Engineering in Practice (Synthesis Lectures on Software Engineering, 1) book, the best buyback offer comes from and is $ for the book in good condition.

Not enough insights yet.

Not enough insights yet.