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The concepts of verification and validation has drawn some criticism from philosophers.
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Concept of verification and validation (V&V) for modeling and simulation is briefly explained, and V&V examples for industrial applications are introduced: automobile, chemical engineering, metal engineering, and biomechanics.
While the concept of verification may be applied to different contexts with slightly different meanings, here we always use verification as checking for the truth or correctness of either data (i.e. whether the data represents what we wish to measure) or the correctness of a theory's predictions.
This chapter illustrates the concepts of hardware verification environment and co-verification.
If one believes that all semantic content is learned through observation of adult language use or that all mental content has to be acquired through some sort of inference to the best explanation, then the Manifestation and Acquisition Arguments look hard to resist: how could the language-learner so much as acquire let alone manifest the concept of verification-transcendent truth?
This chapter reviews the basic concepts of functional verification and the challenges associated with it.
Having introduced the general topic, we take a step back and briefly trace the historical development of the concepts of formal verification, from Leibniz's 17th-century dreams to the realities of modern industry EDA tools.
We provide a proof-of-concept verification of the use of the microreactor in several organic and metalo-organic syntheses.
This chapter also introduces the concept of software verification.
This chapter introduces the concept of functional verification of electronic design.
In Chapter 4, we introduce the basic concepts of Formal Property Verification (FPV), an FV method that checks whether a set of properties, usually specified as assertions, is true of a given piece of RTL.
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