Wichmann, B (1997) Software in scientific computing. Measurement Good Practice Guide. 5

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Abstract

Software is playing an increasingly important part in scientific instruments and hence there is a need to ensure that the quality of the software is appropriate for the instrument and its application. This guide provides a means for suppliers and users to assure themselves of the quality of software.

Item Type:	Report/Guide (Measurement Good Practice Guide)
Notes:	NPL made every effort to ensure all information contained in this Good Practice Guide was correct at time of publication. NPL is not responsible for any errors, omissions or obsolescence, and does not accept any liability arising from the use of these Good Practice Guides.
Subjects:	Mathematics and Scientific Computing Mathematics and Scientific Computing > Software Engineering
Last Modified:	23 Feb 2026 11:06
URI:	https://eprintspublications.npl.co.uk/id/eprint/1562