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Generative Programming: Methods, Techniques and Applications (Paperback)
£36.50 - Save £1.49 (3%) - RRP £37.99 Free delivery worldwide (to United States and
all these other countries) Usually dispatched within 72 hours | |Short Description for Generative ProgrammingProvides information on the benefits of automation in software development. This book covers methods and tools that will help you design and implement the right components for a system family and automate component assembly. It provides treatment of critical technologies and topics, including Domain Engineering, Feature Modeling, and more.
Full description- Publisher: Pearson Education (US)
- Published: 14 June 2000
- Format: Paperback 864 pages
- See: Full bibliographic data
- Categories: Computer Programming / Software Development | Client-Server Networking
- ISBN 13: 9780201309775 ISBN 10: 0201309777
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Full description for Generative Programming
Generative Programming (GP) offers the promise of moving from "one-of-a-kind" software systems to the semi-automated manufacture of wide varieties of software -- essentially, an assembly line for software systems. GP's goal is to model software system families and build software modules such that, given particular requirements specs, highly customized and optimized intermediate or end products can be constructed on demand. This is the first book to cover Generative Programming in depth. The authors, leaders in their field, introduce the two-stage GP development cycle: one stage for designing and implementing a generative domain model, and another for using the model to build concrete systems. They review key differences between generative modeling and processes used for "one-of-a-kind" systems. Next, they introduce key GP concepts such as feature models, and demonstrate "generic programming" techniques for creating components which lend themselves to easy combination and reuse. The book also introduces Aspect Oriented Programming, which allows developers to solve key recurring problems in traditional O-O development; and presents metaprogramming techniques for building powerful program generators. Three detailed case studies demonstrate the entire generative development cycle, from analysis to implementation.





