Practical Code Generation in .NET: Covering Visual Studio 2005, 2008, an2 2010

Practical Code Generation in .NET: Covering Visual Studio 2005, 2008, an2 2010 by Peter Vogel


ISBN
9780321606785
Published
Released
01 / 06 / 2010
Binding
Paperback
Pages
375
Dimensions
229 x 180 x 29mm

Master code generation - one of .NET's most powerful, underutilized tools for improving programmer effectiveness.

* Shows how to use code generation to improve productivity, reduce maintenance costs, and leverage existing code more effectively.
* Includes hands-on demos solving the most common code generation problems.
* Introduces all core .NET tools for code generation: the first book to fully cover CodeDOM.
* Fully up to date for Visual Studio 2010 and .NET 4.0

Automatic code generation can increase developer productivity, improve code quality, reduce maintenance costs, increase code reusability, guarantee standardization across applications or enterprises, and simplify the capture and usage of development best practices. The .NET Framework now contains comprehensive tools for automatic code generation. These underutilized, often unnoticed tools offer developers remarkable opportunities to improve their effectiveness. Now, for the first time, there's a complete guide to using these tools effectively, and making code generation work in any .NET development environment. Peter Vogel first shows .NET developers how to recognize when code generation can be used to address their real world development challenges, and then takes them through the process of designing successful code generation solutions that build on the skills and resources they already have. Vogel introduces solutions using several approaches and tools, including procedural code, XML, XSLT, configuration files, and all the tools available in .NET 2.0/3.5/4.0 framework and Visual Studio 2010, 2008, or 2005. In particular, he offers the first comprehensive coverage of Microsoft's powerful new CodeDOM. As they proceed, .NET developers will discover why code generation is more realistic than ever, and how code generation facilitates (without requiring) other important advances, such as model-driven development.
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