Generative Programming: Methods, Tools, and Applications (Paperback)

Krysztof Czarnecki, Ulrich Eisenecker

Generative Programming: Methods, Tools, and Applications (Paperback)
  • 出版商: Addison Wesley
  • 出版日期: 2000-06-06
  • 售價: $2,275
  • 貴賓價: 9.5 折 $2,161
  • 語言: 英文
  • 頁數: 864
  • 裝訂: Paperback
  • ISBN: 0201309777
  • ISBN-13: 9780201309775

    • 立即出貨(限量) (庫存=3)

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Generative programming: Breakthrough techniques for automating the creation of software systems.

  • Building generative models: overcoming the limitations of traditional object-oriented modeling.
  • Aspect-Oriented Programming, metaprogramming, next-generation code generators, and more.
  • Includes illustrative sample code in C, C++, and Java, and three detailed, start-to-finish case studies.

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.

Krzysztof Czarnecki is a Ph.D. candidate at the University of Ilmenau, Department of Software Engineering and Media Technology, and a researcher at the DaimlerChrysler AG Research Center in Ulm, Germany. Ulrich Eisenecker, a faculty member in Computer Science and Microsystem Engineering at the University of Applied Sciences Kaiserslautern. He was formerly a researcher at Daimler-Benz Research Center in Ulm, Germany.

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Appropriate Courses

C++--Intermediate Programming.

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Table Of Contents

 

1. What Is This Book About?

 

From Handcrafting to Automated Assembly Lines.
Generative Programming.
Benefits and Applicability.
 

I. ANALYSIS AND DESIGN METHODS AND TECHNIQUES.

 

 


2. Domain Engineering.

 

Why Is This Chapter Worth Reading?
What Is Domain Engineering?
Domain Analysis.
Domain Design and Domain Implementation.
Application Engineering.
Product-Line Practices.
Key Domain Engineering Concepts.
Domain.
Domain Scope and Scoping.
Relationships between Domains.
Features and Feature Models.
Method Tailoring and Specialization.

Survey of Domain Analysis and Domain Engineering Methods.
Feature-Oriented Domain Analysis (FODA).
Organization Domain Modeling (ODM).
Draco.
Capture.
Domain Analysis and Reuse Environment (DARE).
Domain-Specific Software Architecture (DSSA) Approach.
Algebraic Approach.
Other Approaches.

Domain Engineering and Related Approaches.
Historical Notes.
Summary.


3. Domain Engineering and Object-Oriented Analysis and Design.

 

 

Why Is This Chapter Worth Reading?
OO Technology and Reuse.
Solution Space.
Problem Space.

Relationship between Domain Engineering and Object-Oriented Analysis and Design (OOA/D) Methods.
Aspects of Integrating Domain Engineering and OOA/D Methods.
Horizontal versus Vertical Methods.
Selected Methods.
Rational Unified Process.
00ram.
Reuse-Driven Software Engineering Business (RSEB).
FeatuRSEB.
Domain Engineering Method for Reusable Algorithmic Libraries (DEMRAL).


4. Feature Modeling.

 

 

Why Is This Chapter Worth Reading?
Features Revisited.
Feature Modeling.
Feature Models.
Feature Diagrams.
Other Infon-Nation Associated with Feature Diagrams in a Feature Model.
Assigning Priorities to Variable Features.
Availability Sites, Binding Sites, and Binding Modes.

Relationship between Feature Diagrams and Other Modeling Notations and Implementation Techniques.
Single Inheritance.
Multiple Inheritance.
Parameterized Inheritance.
Static Parameterization.
Dynamic Parameterization.

Implementing Constraints.
Tool Support for Feature Models.
Frequently Asked Questions about Feature Diagrams.
Feature Modeling Process.
How to Find Features.
Role of Variability in Modeling.


5. The Process of Generative Programming.

 

 

Why Is This Chapter Worth Reading?
Generative Domain Models.
Main Development Steps in Generative Programming.
Adapting Domain Engineering for Generative Programming.
Domain-Specific Languages.
DEMRAL: Example of a Domain Engineering Method for Generative Programming.
Outline of DEMRAL.
Domain Analysis.
Domain Definition.
Domain Modeling.

Domain Design.
Scope Domain Model for Implementation.
Identify Packages.
Develop Target Architectures and Identify the Implementation Components.
Identify User DSLs.
Identify Interactions between DSLs.
Specify DSLs and Their Translation.
Configuration DSLs.
Expression DSLs.

Domain Implementation.
 

II. IMPLEMENTATION TECHNOLOGIES.

 

 


6. Generic Programming.

 

 

Why Is This Chapter Worth Reading?
What Is Generic Programming?
Generic versus Generative Programming.
Generic Parameters.
Parametric versus Subtype Polymorphism.
Genericity in Java.

Bounded versus Unbounded Polymorphism.
A Fresh Look at Polymorphism.
Parameterized Components.
Parameterized Programming.
Types, Interfaces, and Specifications.
Adapters.
Vertical and Horizontal Parameters.
Module Expressions.

C++ Standard Template Library.
Iterators.
Freestanding Functions versus Member Functions.

Generic Methodology.
Historical Notes.


7. Component-Oriented Template-Based C++ Programming Techniques.

 

 

Why Is This Chapter Worth Reading?
Types of System Configuration.
C++ Support for Dynamic Configuration.
C++ Support for Static Configuration.
Static Typing.
Static Binding.
Inlining.
Templates.
Parameterized Inheritance.
typedefs.
Member Types.
Nested Classes.

Prohibiting Certain Template Instantiations.
Static versus Dynamic Parameterization.
Wrappers Based on Parameterized Inheritance.
Template Method Based on Parameterized Inheritance.
Parameterizing Binding Mode.
Consistent Parameterization of Multiple Components.
Static Interactions between Components.
Components with Influence.
Components under Influence.
Structured Configurations.
Recursive Components.
Intelligent Configuration.


8. Aspect-Oriented Decomposition and Composition.

 

 

Why Is This Chapter Worth Reading?
What Is Aspect-Oriented Programming?
Aspect-Oriented Decomposition Approaches.
Subject-Oriented Programming.
Composition Filters.
Demeter / Adaptive Programming.
Aspect-Oriented Decomposition and Domain Engineering.

How Aspects Arise.
Composition Mechanisms.
Requirements on Composition Mechanisms.
Example: Synchronizing a Bounded Buffer.
“Tangled” Synchronized Stack.
Separating Synchronization Using Design Patterns.
Separating Synchronization Using SOP.
Some Problems with Design Patterns and Some Solutions.
Implementing Noninvasive, Dynamic Composition in Smalltalk.
Kinds of Crosscutting.

How to Express Aspects in Programming Languages.
Separating Synchronization Using AspectJ Cool.
Implementing Dynamic Cool in Smalltalk.

Implementation Technologies for Aspect-Oriented Programming.
Technologies for Implementing Aspect-Specific Abstractions.
Technologies for Implementing Weaving.
AOP and Specialized Language Extensions.
AOP and Active Libraries.

Final Remarks.


9. Generators.

 

 

Why Is This Chapter Worth Reading?
What Are Generators?
Transformational Model of Software Development.
Technologies for Building Generators.
Compositional versus Transformational Generators.
Kinds of Transformations.
Compiler Transformations.
Source-to-Source Transformations.

Transformation Systems.
Scheduling Transformations.
Existing Transformation Systems and Their Applications.

Selected Approaches to Generation.
Draco.
GenVoca.
Approaches Based on Algebraic Specifications.


10. Static Metaprogramming in C++.

 

 

Why Is This Chapter Worth Reading?
What Is Metaprogramming?
A Quick Tour of Metaprogramming.
Static Metaprogramming.
C++ as a Two-Level Language.
Functional Flavor of the Static Level.
Class Templates as Functions.
Integers and Types as Data.
Symbolic Names Instead of Variables.
Constant Initialization and typedef-Statements Instead of Assignment.
Template Recursion Instead of Loops.
Conditional Operator and Template Specialization as Conditional Constructs.

Template Metaprogramming.
Template Metafunctions.
Metafinctions as Arguments and Return Values of Other Metafinctions.
Representing Metainformation.
Member Traits.
Traits Classes.
Traits Templates.
Example: Using Template Metafunctions and Traits Templates to Implement Type Promotions.
Compile-Time Lists and Trees as Nested Templates.

Compile-Time Control Structures.
Explicit Selection Constructs.
Template Recursion as a Looping Construct.
Explicit Looping Constructs.

Code Generation.
Simple Code Selection.
Composing Templates.
Generators Based on Expression Templates.
Recursive Code Expansion.
Explicit Loops for Generating Code.

Example: Using Static Execute Loops to Test Metafunctions.
Partial Evaluation in C++.
Workarounds for Partial Template Specialization.
Problems of Template Metaprogramming.
Historical Notes.


11. Intentional Programming.

 

 

Why Is This Chapter Worth Reading?
What Is Intentional Programming?
Technology behind IP.
System Architecture.
Representing Programs in IP: The Source Graph.
Source Graph + Methods = Active Source.

Working with the IP Programming Environment.
Editing.
Further Capabilities of the IP Editor.
Extending the IP System with New Intentions.

Advanced Topics.
Questions, Methods, and a Frameworklike Organization.
Source-Pattem-Based Polymorphism.
Methods as Visitors.
Asking Questions Synchronously and Asynchronously.
Reduction.

The Philosophy behind IP.
Why Do We Need Extendible Programming Environments? or What Is the Problem with Fixed Programming Languages?
Moving Focus from Fixed Languages to Language Features and the Emergence of an Intention Market.
Intentional Programming and Component-Based Development.
Frequently Asked Questions.

Summary.
 

III. APPLICATION EXAMPLES.

 

 


12. List Container.

 

 

Why Is This Chapter Worth Reading?
Overview.
Domain Analysis.
Domain Design.
Implementation Components.
Manual Assembly.
Specifying Lists.
The Generator.
Extensions.


13. Bank Account.

 

 

Why Is This Chapter Worth Reading?
The Successful Programming Shop.
Design Pattems, Frameworks, and Components.
Domain Engineering and Generative Programming.
Feature Modeling.
Architecture Design.
Implementation Components.
Configurable Class Hierarchies.
Designing a Domain-Specific Language.
Bank Account Generator.
Testing Generators and Their Products.


14. Generative Matrix Computation Library (GMCL).

 

 

Why Is This Chapter Worth Reading?
Why Matrix Computations?
Domain Analysis.
Domain Definition.
Domain Modeling.

Domain Design and Implementation.
Matrix Type Generation.
Generating Code for Matrix Expressions.
Implementing the Matrix Component in IP.
 

APPENDICES.

 

 


Appendix A: Conceptual Modeling.

 

 

What Are Concepts?
Theories of Concepts.
Basic Terminology.
The Classical View.
The Probabilistic View.
The Exemplar View.
Summary of the Three Views.

Important Issues Concerning Concepts.
Stability of Concepts.
Concept Core.
Informational Contents of Features.
Feature Composition and Relationships between Features.
Quality of Features.
Abstraction and Generalization.

Conceptual Modeling, Object-Orientation, and Software Reuse.


Appendix B: Instance-Specific Extension Protocol for Smalltalk.
Appendix C: Protocol for Attaching Listener Objects in Smalltalk.
Appendix D: Glossary of Matrix Computation Terms.
Appendix E: Metafunction for Evaluating Dependency Tables.
Glossary of Generative Programming Terms.
References.
Index. 020130977T04062001


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商品描述(中文翻譯)

描述

生成式編程：自動化軟體系統創建的突破性技術。克服傳統面向對象建模的限制。包括面向方面的編程、元編程、下一代代碼生成器等。書中提供了C、C++和Java的示例代碼，以及三個詳細的案例研究。生成式編程（GP）承諾將從“獨一無二”的軟體系統轉變為半自動化製造各種軟體的能力，本質上是軟體系統的組裝線。GP的目標是建模軟體系統家族並構建軟體模塊，以便在給定特定需求規範的情況下，可以按需構建高度定制和優化的中間產品或最終產品。這是第一本深入介紹生成式編程的書籍。作者是該領域的領導者，他們介紹了兩階段的GP開發循環：一個階段用於設計和實現生成式領域模型，另一個階段用於使用模型構建具體系統。他們回顧了生成式建模和用於“獨一無二”系統的過程之間的關鍵差異。接下來，他們介紹了關鍵的GP概念，如特徵模型，并演示了用於創建易於組合和重用的組件的“通用編程”技術。該書還介紹了面向方面的編程，允許開發人員解決傳統面向對象開發中的關鍵重複問題；並提出了用於構建強大程序生成器的元編程技術。三個詳細的案例研究展示了整個生成式開發循環，從分析到實施。

適合的課程

C++中級編程。

目錄

1. 這本書是關於什麼的？
從手工製作到自動化組裝線。
生成式編程。
好處和適用性。

I. 分析和設計方法和技術。

2. 領域工程。
為什麼值得閱讀這一章？
什麼是領域工程？
領域分析。
領域設計和領域實現。
應用工程。
產品線實踐。
關鍵領域工程概念。
領域。
領域範圍和範圍。
領域之間的關係。
特徵和特徵模型。
方法定制和專門化。

領域分析和領域工程方法的調查。
面向特徵的領域分析（FODA）。
組織領域建模（ODM）。
Draco。
Capture。
領域分析和重用環境（DARE）。
領域特定軟體架構（DSSA）方法。
代數方法。
其他方法。

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