A Structured Methodology for Measurement Development

A conceptual framework is proposed in which measurement development is envisioned as a three-level hierarchically structured process constituted of stages, each one composed of activities performed through multiple tasks. The underlying assumptions are that the measurement is a designed-on-purpose process and the resources it requires should be justified on a pragmatic basis. The usefulness of the proposed methodology is then illustrated by applying it to an exemplary development of the measurement of the input-output transfer characteristic of an analog-to-digital converter and in the case of a research quality assessment. In this second case, the framework is also used to identify similarities and differences between this information gathering process and measurement.

[1]  Jaap Van Brakel,et al.  Foundations of measurement , 1983 .

[2]  J. Leeuw,et al.  Abstract Measurement Theory. , 1986 .

[3]  P. H. Sydenham,et al.  Structured understanding of the measurement process Part 2: Development and implementation of a measurement process algorithm , 1985 .

[4]  P. H. Sydenham,et al.  Structured understanding of the measurement process: Part 1: Holistic view of the measurement system , 1985 .

[5]  R. Jackson,et al.  The Matthew Effect in Science , 1988, International journal of dermatology.

[6]  Yoji Akao,et al.  Quality Function Deployment : Integrating Customer Requirements into Product Design , 1990 .

[7]  John R. English.  Quality Function Deployment: Integrating Customer Requirements into Product Design , 1993 .

[8]  J. Blair.  Histogram measurement of ADC nonlinearities using sine waves , 1994 .

[9]  L. Finkelstein,et al.  Modeling in measurement and instrumentation—An overview , 1994 .

[10]  Peter H. Sydenham,et al.  pro-minds: Development of a software tool to support the measurement system designer , 1995 .

[11]  Stephen H. Kan,et al.  Metrics and Models in Software Quality Engineering , 1994, SOEN.

[12]  Giovanni Battista Rossi,et al.  Hierarchical intelligent measurement set-up for characterizing dynamical systems , 1997 .

[13]  Shari Lawrence Pfleeger,et al.  Software Metrics : A Rigorous and Practical Approach , 1998 .

[14]  Dario Petri,et al.  Noise sensitivity of the ADC histogram test , 1998, IEEE Trans. Instrum. Meas..

[15]  Laurent Foulloy,et al.  Fuzzy modeling of measurement data acquired from physical sensors , 2000, IEEE Trans. Instrum. Meas..

[16]  Lamia Berrah,et al.  Fuzzy handling of measurement errors in instrumentation , 2000, IEEE Trans. Instrum. Meas..

[17]  Jonathan Barzilai,et al.  On the foundations of measurement , 2001, 2001 IEEE International Conference on Systems, Man and Cybernetics. e-Systems and e-Man for Cybernetics in Cyberspace (Cat.No.01CH37236).

[18]  P. Daponte,et al.  ADC histogram test by triangular small-waves , 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

[19]  T. B. Rogers,et al.  Measurement in psychology: A critical history of a methodological concept , 2002 .

[20]  Dario Petri,et al.  Statistical efficiency of the ADC sinewave histogram test , 2002, IEEE Trans. Instrum. Meas..

[21]  Peter H. Sydenham,et al.  Relationship between measurement, knowledge and advancement , 2003 .

[22]  A. ADoefaa,et al.  ? ? ? ? f ? ? ? ? ? , 2003 .

[23]  Degang Chen,et al.  BIST and production testing of ADCs using imprecise stimulus , 2003, TODE.

[24]  L. Finkelstein.  Widely, strongly and weakly defined measurement , 2003 .

[25]  Alessandro Ferrero,et al.  The random-fuzzy variables: a new approach to the expression of uncertainty in measurement , 2004, IEEE Transactions on Instrumentation and Measurement.

[26]  L. Finkelstein,et al.  Problems of measurement in soft systems , 2005 .

[27]  S. Salicone,et al.  A fully-comprehensive mathematical approach to the expression of uncertainty in measurement , 2005, Proceedings of the 2005 IEEE International Workshop onAdvanced Methods for Uncertainty Estimation in Measurement, 2005..

[28]  Dario Petri,et al.  Simple and time-effective procedure for ADC INL estimation , 2006, IEEE Transactions on Instrumentation and Measurement.

[29]  Marcel Boumans.  Measurement in Economics: A Handbook , 2007 .

[30]  Michael Seadle.  Measurement , 2007, The Measurement of Information Integrity.

[31]  Luca Mari,et al.  A Comparison Between Foundations of Metrology and Software Measurement , 2008, IEEE Transactions on Instrumentation and Measurement.

[32]  Ieee Std,et al.  IEEE Standard for Terminology and Test Methods for Analog-to-Digital Converters , 2011 .

[33]  Dario Petri,et al.  Measurement Fundamentals: A Pragmatic View , 2012, IEEE Transactions on Instrumentation and Measurement.

[34]  Luca Mari,et al.  Measurement, Models, and Uncertainty , 2012, IEEE Transactions on Instrumentation and Measurement.

[35]  null null,et al.  Evaluation of Measurement Data: The Role of Measurement Uncertainty in Conformity Assessment , 2013 .

[36]  Sayfe Kiaei,et al.  Design, Modeling and Testing of Data Converters , 2014 .

[37]  Barrie Dale,et al.  Quality Management Systems , 2015 .