Software Design for Flexibility: How to Avoid Programming Yourself into-SEALED🔥

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Release Year
2021
Book Title
Software Design for Flexibility: How to Avoid Programming Your...
ISBN
9780262045490
Category

About this product

Product Identifiers

Publisher
MIT Press
ISBN-10
0262045494
ISBN-13
9780262045490
eBay Product ID (ePID)
9050026185

Product Key Features

Number of Pages
448 Pages
Language
English
Publication Name
Software Design for Flexibility : How to Avoid Programming Yourself Into a Corner
Subject
Programming / General, Computer Science, General, Software Development & Engineering / Systems Analysis & Design
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Computers
Author
Chris Hanson, Gerald Jay Sussman
Format
Hardcover

Dimensions

Item Height
1.1 in
Item Weight
26.7 Oz
Item Length
9.3 in
Item Width
6.3 in

Additional Product Features

Intended Audience
Trade
LCCN
2020-040688
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.1112
Table Of Content
Foreword xi Preface xiii Acknowledgments xix 1 Flexibility in Nature and in Design 1 2 Domain-Specific Languages 21 3 Variations on an Arithmetic Theme 67 4 Pattern Matching 157 5 Evaluation 233 6 Layering 299 7 Propagation 327 8 Epilogue 373 A Appendix: Supporting Software 377 B Appendix: Scheme 379
Synopsis
Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by: - Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces - Augmenting data with independent annotation layers, such as units of measurement or provenance - Combining independent pieces of partial information using unification or propagation - Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking - Extending the programming language, using dynamically extensible evaluators, Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications. Time pressures encourage programmers to write code that works well for a narrow purpose, with no room to grow. But the best systems are evolvable; they can be adapted for new situations by adding code, rather than changing the existing code. The authors describe techniques they have found effective--over their combined 100-plus years of programming experience--that will help programmers avoid programming themselves into corners. The authors explore ways to enhance flexibility by- Organizing systems using combinators to compose mix-and-match parts, ranging from small functions to whole arithmetics, with standardized interfaces Augmenting data with independent annotation layers, such as units of measurement or provenance Combining independent pieces of partial information using unification or propagation Separating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtracking Extending the programming language, using dynamically extensible evaluators
LC Classification Number
QA76.76.D47H35 2021

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