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Generative Programming: Methods, Tools, and Applications

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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 interme 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.


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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 interme 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.

30 review for Generative Programming: Methods, Tools, and Applications

  1. 5 out of 5

    Nick Black

    These are the guys, of course, who designed the IF<> metatemplate (although they still ain't any Alexandrescu (but who is?)!). These are the guys, of course, who designed the IF<> metatemplate (although they still ain't any Alexandrescu (but who is?)!).

  2. 4 out of 5

    Faisal Bahadur

    i love this book

  3. 5 out of 5

    Lutz

  4. 5 out of 5

    Christian

  5. 5 out of 5

    Konstantin

  6. 5 out of 5

    Ema Jones

  7. 4 out of 5

    Ruslan Abdikeev

  8. 5 out of 5

    Rajesh

  9. 4 out of 5

    Paul Butcher

  10. 4 out of 5

    Marco Emrich

  11. 4 out of 5

    Mark

  12. 5 out of 5

    Eduardo

  13. 4 out of 5

    Christian M. Adriano

  14. 5 out of 5

    Galeactena

  15. 4 out of 5

    Abrar Hussain

  16. 4 out of 5

    Konstantin Solomatov

  17. 5 out of 5

    Dmitri

  18. 4 out of 5

    Oliver Steele

  19. 5 out of 5

    John Ackley

  20. 4 out of 5

    Simon

  21. 5 out of 5

    Keith Bussell

  22. 5 out of 5

    Jim D'Ambrosia

  23. 4 out of 5

    Dariusz

  24. 5 out of 5

    Mark

  25. 5 out of 5

    Mark

  26. 4 out of 5

    Jake Watkins

  27. 5 out of 5

    Garry Marshall

  28. 5 out of 5

    Carter

  29. 4 out of 5

    Rakesh kumar

  30. 4 out of 5

    Max Hinkley

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