Software Design for Flexibility. Questo articolo non è disponibile.
Lingua: inglese
Editore: MIT Press Ltd Mrz 2021, 2021
- Rilegato
- Nuovo

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Descrizione dell’articolo da parte del venditore
Neuware -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 448 pp. Englisch.…
Codice articolo 9780262045490
- Titolo
- Software Design for Flexibility
- Autore
- Chris Hanson
- Editore
- MIT Press Ltd Mrz 2021
- Anno di pubblicazione
- 2021
- Condizione
- Neu
- Rilegatura
- Buch
- Lingua
- inglese
- ISBN 10
- 0262045494
- ISBN 13
- 9780262045490
- Peso dell'articolo
- 727 grammi
- Dimensioni
- 236x158x35 mm
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:
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Informazioni sull’autore
Gerald Jay Sussman is Panasonic Professor of Electrical Engineering at MIT. He is the coauthor of Structure and Interpretation of Computer Programs, Structure and Interpretation of Classical Mechanics, and Functional Differential Equations (all published by the MIT Press).
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