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{ "item_title" : "A Unifying Framework for Structured Analysis and Design Models", "item_author" : [" T. H. Tse", "Tse T. H. "], "item_description" : "Structured methodologies are a popular and powerful tool in information systems development. Many different ones exist, each employing a number of models and so a specification must be converted from one form to another during the development process. To solve this problem, Dr. Tse proposes a unifying framework behind popular structured models. He approaches the problem from the viewpoints of algebra and category theory. He not only develops the frameworks but also illustrates their practical and theoretical usefulness. Thus, this book will provide insight for software engineers into how methodologies can be formalized, and will open up a range of applications and problems for theoretical computer scientists.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/52/111/787/0521117879_b.jpg", "price_data" : { "retail_price" : "50.00", "online_price" : "50.00", "our_price" : "50.00", "club_price" : "50.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
A Unifying Framework for Structured Analysis and Design Models|T. H. Tse

A Unifying Framework for Structured Analysis and Design Models : An Approach Using Initial Algebra Semantics and Category Theory

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Overview

Structured methodologies are a popular and powerful tool in information systems development. Many different ones exist, each employing a number of models and so a specification must be converted from one form to another during the development process. To solve this problem, Dr. Tse proposes a unifying framework behind popular structured models. He approaches the problem from the viewpoints of algebra and category theory. He not only develops the frameworks but also illustrates their practical and theoretical usefulness. Thus, this book will provide insight for software engineers into how methodologies can be formalized, and will open up a range of applications and problems for theoretical computer scientists.

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Details

  • ISBN-13: 9780521117876
  • ISBN-10: 0521117879
  • Publisher: Cambridge University Press
  • Publish Date: July 2009
  • Dimensions: 9.61 x 6.69 x 0.41 inches
  • Shipping Weight: 0.69 pounds
  • Page Count: 192

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