Verification and Validation in Scientific Computing Review

Verification and Validation in Scientific Computing
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This book is an excellent resource for anyone dealing with concepts of verification and validation. This was an important part of my thesis work, and this reference was invaluable in providing a much-needed comprehensive overview of the verification and validation literature. Both Oberkampf and Roy have done much pioneering in the field of V&V, so the reader is in good/capable hands. The book covers some fundamental V&V concepts, then moves into code verification and software quality assurance (Part II) and solution verification (Part III). It then covers model validation (Part IV), and covers issues in implementation, planning, and management and use of V&V in these activities (Part V). Part V is perhaps the most unique part of the book, but the coverage in all parts of the book is thorough.
This, along with Roache's "Verification and Validation in Computational Science and Engineering" (1998), proved to be an excellent survey of the field. (Much less helpful was the Salari and Knupp's "Verification of Computer Codes" (2002)). Coleman's "Experimentation, Validation, and Uncertainty Analysis for Engineers" (2009) has a more heavily experimental flavor, but is another great resource in this field.

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