Software validation in metrology: A case study for a GUM-supporting software

Greif, Norbert; Schrepf, Heike; Richter, Dieter

doi:10.1016/j.measurement.2006.04.005

Cited by 13 publications

(9 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For several years, the authors have been involved in the evaluation of software products which implement the GUM [3,4,5]. Recently, three further software products were comparatively evaluated concerning GUM conformity.…”

Section: Motivation and Aimmentioning

confidence: 99%

GUM conformity of software products - a discussion from a software tester's perspective

Greif

Schrepf

2014

ACTA IMEKO

Self Cite

View full text Add to dashboard Cite

This paper describes how to assess GUM conformity of software products which claim to offer a GUM-compliant calculation of measurement uncertainties. To bridge the gap between the GUM guideline and the required test specification, an analysis of the GUM from the perspective of software testing is presented. Problems of testability and ambiguity of GUM statements are analysed in detail. The benefit and the limits of the developed validation procedure and test environment are outlined.

show abstract

Section: Motivation and Aimmentioning

confidence: 99%

GUM conformity of software products - a discussion from a software tester's perspective

Greif

Schrepf

2014

ACTA IMEKO

Self Cite

View full text Add to dashboard Cite

show abstract

“…We have analyzed most critical parts of the software from verification point of view. Following practice of PTB and NPL [3][4] we have defined the list of most important testable requirements with suitable test criteria for each item. We will follow the list in following sections and sub-sections.…”

Section: Introductionmentioning

confidence: 99%

Software for imaging phase-shift interference microscope

Malinovski

França

Couceiro

2018

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

Abstract. In recent years absolute interference microscope was created at National Metrology Institute of Brazil (INMETRO). The instrument by principle of operation is imaging phaseshifting interferometer (PSI) equipped with two stabilized lasers of different colour as traceable reference wavelength sources. We report here some progress in development of the software for this instrument. The status of undergoing internal validation and verification of the software is also reported. In contrast with standard PSI method, different methodology of phase evaluation is applied. Therefore, instrument specific procedures for software validation and verification are adapted and discussed.

show abstract

“…In recent years, when measuring equipment has become much more powerful and software dependant, questions regarding software performance in metrology have been raised demanding further concern and research to establish its current status (Cox and Harris, 2000;Goulding, 2003;Esward et al, 2003;Greif et al, 2006;Richter, 2006;Carbone et al, 2008;Habra, 2008;Liu et al, 2008). The same applies when simulation models are integrated in the metrology software to be used to preview the CMM behavior, which is the case of the Virtual Coordinate Measuring Machines (VCMM) (Phillips et al, 2002;Takamasu, 2002;Levin, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Validity (Greif et al, 2006;Richter, 2006;Levin, 2008) is usually verified through a selected subset of tests until sufficient confidence is obtained that the model is valid for an intended application. For this reason, authors state: a simulation model of a complex system can only be an approximation to the actual system, regardless of how much effort is put into developing the model.…”

Section: Introductionmentioning

confidence: 99%

“…Although the formal approach for software validation is scarcely seen in the metrology literature (Greif et al, 2006;Richter, 2006;Levin, 2008), it can also be applied to testing the Virtual Coordinate Measuring Machines -VCMMs (Takamasu et al, 2002;PTB, 2002;Metrosage, 2003). However, many VCMMs use inferential methods such as Monte Carlo Techniques to derive uncertainty estimates (Phillips et al, 2002) and this introduces new perspectives on software testing due to its stochastic nature, making the problem of checking the validity even more demanding.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation