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Software Abstractions: Logic, Language, and Analysis

Software Abstractions: Logic, Language, and Analysis

Software Abstractions: Logic, Language, and Analysis Paperback / softback - 2016

by Daniel Jackson

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Paperback / softback. New. An approach to software design that introduces a fully automated analysis giving designers immediate feedback, now featuring the latest version of the Alloy language.
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Details

  • Title Software Abstractions: Logic, Language, and Analysis
  • Author Daniel Jackson
  • Binding Paperback
  • Edition PAP/CDR
  • Condition New
  • Pages 376
  • Volumes 1
  • Language ENG
  • Publisher MIT Press
  • Publication date 2016-02-12
  • Features Bibliography, Index
  • Bookseller's Inventory # B9780262528900
  • ISBN 9780262528900 / 0262528908
  • Weight 1.1 lbs (0.50 kg)
  • Dimensions 8.9 x 5.9 x 0.8 in (22.61 x 14.99 x 2.03 cm)
  • Age range 18 to UP years
  • Grade levels 13 - UP
  • Themes
    • Aspects (Academic): Science/Technology Aspects
  • Category Computers - Languages / Programming
  • Library of Congress subjects Computer software - Development
  • Dewey Decimal Code 005.1
  • Quantity available 10

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Reader reviews for Software Abstractions: Logic, Language, and Analysis

From the publisher

An approach to software design that introduces a fully automated analysis giving designers immediate feedback, now featuring the latest version of the Alloy language.

In Software Abstractions Daniel Jackson introduces an approach to software design that draws on traditional formal methods but exploits automated tools to find flaws as early as possible. This approach--which Jackson calls "lightweight formal methods" or "agile modeling"--takes from formal specification the idea of a precise and expressive notation based on a tiny core of simple and robust concepts but replaces conventional analysis based on theorem proving with a fully automated analysis that gives designers immediate feedback. Jackson has developed Alloy, a language that captures the essence of software abstractions simply and succinctly, using a minimal toolkit of mathematical notions. This revised edition updates the text, examples, and appendixes to be fully compatible with Alloy 4.

About the author

Daniel Jackson is a photographer and Professor of Computer Science at MIT. His images of contemporary laboratories were shown at the MIT Museum in conjunction with a major exhibit of Berenice Abbott's MIT work in 2012, and other images have appeared in group shows nationwide.
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