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{ "item_title" : "Testing Strategies for Model-Based Development", "item_author" : [" Nasa Technical Reports Server (Ntrs)", "Et Al", "Mats P. Heimdahl "], "item_description" : "This report presents an approach for testing artifacts generated in a model-based development process. This approach divides the traditional testing process into two parts: requirements-based testing (validation testing) which determines whether the model implements the high-level requirements and model-based testing (conformance testing) which determines whether the code generated from a model is behaviorally equivalent to the model. The goals of the two processes differ significantly and this report explores suitable testing metrics and automation strategies for each. To support requirements-based testing, we define novel objective requirements coverage metrics similar to existing specification and code coverage metrics. For model-based testing, we briefly describe automation strategies and examine the fault-finding capability of different structural coverage metrics using tests automatically generated from the model.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/28/724/670/1287246702_b.jpg", "price_data" : { "retail_price" : "17.75", "online_price" : "17.75", "our_price" : "17.75", "club_price" : "17.75", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Testing Strategies for Model-Based Development|Nasa Technical Reports Server (Ntrs)

Testing Strategies for Model-Based Development

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Overview

This report presents an approach for testing artifacts generated in a model-based development process. This approach divides the traditional testing process into two parts: requirements-based testing (validation testing) which determines whether the model implements the high-level requirements and model-based testing (conformance testing) which determines whether the code generated from a model is behaviorally equivalent to the model. The goals of the two processes differ significantly and this report explores suitable testing metrics and automation strategies for each. To support requirements-based testing, we define novel objective requirements coverage metrics similar to existing specification and code coverage metrics. For model-based testing, we briefly describe automation strategies and examine the fault-finding capability of different structural coverage metrics using tests automatically generated from the model.

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Details

  • ISBN-13: 9781287246701
  • ISBN-10: 1287246702
  • Publisher: Bibliogov
  • Publish Date: July 2013
  • Dimensions: 9.69 x 7.44 x 0.15 inches
  • Shipping Weight: 0.32 pounds
  • Page Count: 72

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