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Praise for Generative Programming
“The book develops strong themes around unifying principles that tie the pieces together, most notably domain engineering and metaprogramming. It’s crucial to understand that this book is not just some refreshing diversionn or just an exposition of some noteworthy niche techniques. It is a harbinger of a broader enlightenment that opens the door to a new age.”—from the foreword by JAMES COPLIEN, a Distinguished Member of Technical Staff at Lucent Technologies' Bell Laboratories, Naperville, IL
“Generative Programming offers a well-written and comprehensive discussion that integrates object technology and domain engineering. The authors’ approach to software systems generation provides very clear insights into practices essential for systematic reuse and software product lines.”—SHOLOM COHEN, a Senior Member of the Technical Staff of the Software Engineering Institute (SEI), Pittsburgh, PA, and a co-developer of the Feature Oriented Domain Analysis (FODA) method
“If you believe that the systems you develop today will share concepts with the systems you will develop tomorrow, then the practical techniques presented in this book will reduce your time to market, decrease your engineering costs, and improve your software quality. These techniques are essential for both practitioners and researchers concerned with modern system development.”—JAMES NEIGHBORS, President of Bayfront Technologies, Inc., Newport Beach, CA, and the author of the Draco approach
“The authors present a grand tour of Generative Programming which is bound to become a classic. They properly focus on the generally unappreciated connection between Domain Specific Languages and Generative Programming as a motivation for future development. The wide-ranging and practical methods for Domain Analysis and Domain Engineering describe the first steps that developers can take right now. They are valuable both when existing systems are used or in preparation for emerging new generative technologies.”
Generative Programming (GP) offers great promise to application developers. It makes the idea of moving from Ione of a kindO software systems to the semi-automated manufacture of wide varieties of software quite real. In short, GP is about recognizing the benefits of automation in software development. Generative Programming covers methods and tools that will help you design and implement the IrightO components for a system family and automate component assembly. The methods presented here are applicable for all commercial development--from "programming in the small," at the level of classes and procedures--to "programming in the large," or developing families of large systems.
Generative Programming is your complete guide and reference to this emerging discipline. It provides in-depth treatment of critical technologies and topics including:
Using this book you will learn how these techniques fit together and, more importantly, how to apply them in practice. The text contains three comprehensive case studies in three different domains: programming domain (container data structures), business domain (banking), and scientific computing (matrix computations).
Krzysztof Czarnecki is a researcher and consultant with the Software Engineering Lab at DaimlerChrysler Research and Technology in Ulm, Germany. He gained firsthand experience with Aspect-Oriented Programming and Intentional Programming during research visits at the Xerox Palo Alto Research Center and the Microsoft Research in Redmond, Washington. He received an M.S. degree in computer science from California State University at Sacramento, and M.S. and Ph.D. degrees in computer science from the University of Ilmenau in Germany.
Ulrich W. Eisenecker is a professor of computer science at the University of Applied Sciences Kaiserslautern at Zweibrocken, where he chairs the department for componentware and windows interfaces. Prior to his university career he spent nearly a decade in industry. He is an editor of a special supplement on component software of the German IT magazine OBJEKTspektrum, for which he also writes a C++ column. He has published more than a hundred articles, and frequently speaks at national and international IT conferences.
This book has revolutionary concepts and practical solutions on how to capture the variability in software in an
orderly and predictable way and more important how to provide... Read more
Out of the three programming books (the other two are: "Modern C++ design" by Alexandrescu and "C++ templates" by Vandevoorde and Josuttis) that I have read about C++ template or... Read morePublished on February 21, 2009 by Yuanchyuan Sheu
This book has some cool stuff and I was quite impressed by the part on functional programming using C++ template. Read morePublished on September 12, 2007 by Z. G
This book does cover lots of techniques that fall under the rubric of generative programming, but be warned that there is a strong emphasis on C++ template metaprogramming. Read morePublished on March 1, 2007 by Thing with a hook
One very important lesson in problem solving is that there is no one method that always works. No matter how good you are at one technique, there will be problems for which it is... Read morePublished on November 14, 2006 by John Phillips
As it is said in another review, this is a solid (and rather academic) book on the theory behind code generation. Read morePublished on February 8, 2006 by Fernando Berzal Galiano
The more experience you have designing and implementing complex software with C++, the harder it is to find well-written and thought-provoking books on the subject, especially with... Read morePublished on August 20, 2005 by G. Kiyooka
I bought this book because I was looking for a language-agnostic guide to generic and aspect-oriented programming. Read morePublished on June 23, 2004 by B. Hutchison
This is a solid book of the theory behind code generation. Definitely worth the look if you are interested in extending your build process with code generation or are looking at... Read morePublished on December 13, 2003 by Jack D. Herrington