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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:
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
Chris Hanson is on the technical staff at Datera.
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).
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner
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Hardback. Condizione: Good. 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. Codice articolo CIN0262045494G
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Software Design for Flexibility: How to Avoid Programming Yourself into a Corner
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Hardback. Condizione: Good. 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. Codice articolo CIN0262045494G
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Hardcover. Condizione: new. Hardcover. Strategies for building large systems that can be easily adapted for new situations with only minor programming modifications.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 interfacesAugmenting data with independent annotation layers, such as units of measurement or provenanceCombining independent pieces of partial information using unification or propagationSeparating control structure from problem domain with domain models, rule systems and pattern matching, propagation, and dependency-directed backtrackingExtending the programming language, using dynamically extensible evaluators "An advanced book on programming techniques to build flexible, robust, symbolic systems"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780262045490
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