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Approaches for assigning numerical uncertainty to reference data pairs for software validation, in "Advanced Mathematical and Computational Tools in Metrology and Testing X

G.J.P. Kok and I.M. Smith, "Approaches for assigning numerical uncertainty to reference data pairs for software validation, in "Advanced Mathematical and Computational Tools in Metrology and Testing X" (AMCTM X) (F. Pavese, W. Bremser, A.G. Chunovkina, N. Fischer, A.B. Forbes, Eds.), vol.10, Series on Advances in Mathematics for Applied Sciences vol 86, World Scientific, Singapore, 2015, ISBN: 978-981-4678-61-2, ISBN: 978-981-4678-62-9(ebook), pp 195-202.

Abstract:
This paper discusses the numerical uncertainty related to reference data pairs used for software validation. Various methods for assigning a numerical accuracy bound to reference data pairs are compared. Several performance metrics are discussed which can be used to summarize the results of software testing. They require the calculation of the condition number of the problem solved by the software, or a related quantity called numerical sensitivity. These performance metrics may be used to demonstrate traceability of metrology software.

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