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:
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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).
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Hardback. Condición: Very 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. Nº de ref. del artículo: CIN0262045494VG
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Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
Hardback. Condición: 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. Nº de ref. del artículo: CIN0262045494G
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Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Hardback. Condición: Very 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. Nº de ref. del artículo: CIN0262045494VG
Cantidad disponible: 1 disponibles
Librería: World of Books Inc, Montgomery, IL, Estados Unidos de America
Hardback. Condición: 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. Nº de ref. del artículo: CIN0262045494G
Cantidad disponible: 1 disponibles
Librería: Better World Books: West, Reno, NV, Estados Unidos de America
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Librería: Pink Casa Antiques, Frankfort, KY, Estados Unidos de America
hardcover. Condición: Very Good. pictorial hardcover without dust jacket, tight, pages clear and bright, shelf and edge wear, corners bumped, packaged in cardboard box for shipment, tracking on U.S. orders. Nº de ref. del artículo: 103257
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Librería: INDOO, Avenel, NJ, Estados Unidos de America
Condición: As New. Unread copy in mint condition. Nº de ref. del artículo: RH9780262045490
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