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{ "item_title" : "Model-Driven Software Development", "item_author" : [" Jörg Rech", "Christian Bunse "], "item_description" : "Model-driven software development (MDSD) drastically alters the software development process, characterized by a high degree of innovation and productivity. However, quality assurance application in the domain of software models and model-driven software development is still in an emergent phase. Model-Driven Software Development: Integrating Quality Assurance provides in-depth coverage of important concepts, issues, trends, methodologies, and technologies in quality assurance for model-driven software development. This Premier Reference Source provides educators, researchers, and practitioners with a comprehensive overview of current trends in research and practice of quality assurance in MDSD.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/60/566/006/160566006X_b.jpg", "price_data" : { "retail_price" : "195.00", "online_price" : "195.00", "our_price" : "195.00", "club_price" : "195.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Model-Driven Software Development|Jörg Rech

Model-Driven Software Development : Integrating Quality Assurance

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Overview

Model-driven software development (MDSD) drastically alters the software development process, characterized by a high degree of innovation and productivity. However, quality assurance application in the domain of software models and model-driven software development is still in an emergent phase. Model-Driven Software Development: Integrating Quality Assurance provides in-depth coverage of important concepts, issues, trends, methodologies, and technologies in quality assurance for model-driven software development. This Premier Reference Source provides educators, researchers, and practitioners with a comprehensive overview of current trends in research and practice of quality assurance in MDSD.

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Details

  • ISBN-13: 9781605660066
  • ISBN-10: 160566006X
  • Publisher: Information Science Reference
  • Publish Date: August 2008
  • Dimensions: 11.2 x 8.7 x 1.2 inches
  • Shipping Weight: 3.3 pounds
  • Page Count: 528

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