Description

Book 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
  • Sepa

    • Software Design for Flexibility How to Avoid

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      A Hardback by Chris Hanson, Gerald Jay Sussman

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        Book details

        Publisher MIT Press
        Published 3 September 2021
        ISBN-13 9780262045490
        978-0262045490
        ISBN-10 0262045494
        Also in:
        Computing Digital and IT general topics

        Description

        Book 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
      • Sepa

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