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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner
Chris Hanson, Gerald Jay SussmanQuanto ti piace questo libro?
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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
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
Categorie:
Anno:
2021
Edizione:
1
Casa editrice:
The MIT Press
Lingua:
english
Pagine:
448
ISBN 10:
0262045494
ISBN 13:
9780262045490
File:
EPUB, 1.04 MB
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IPFS:
CID , CID Blake2b
english, 2021
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