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Architecture for software-assisted quantity calculus.

David Flater1

  • 1National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD 20899, USA.

Computer Standards & Interfaces
|December 14, 2020
PubMed
Summary

This study presents a unified architecture for software handling quantity values, including numbers and International System of Units (SI). It aims to standardize diverse implementations for better consistency in scientific software.

Area of Science:

  • Computer Science
  • Physics
  • Metrology

Background:

  • Quantity values combine numbers with units (e.g., International System of Units) to express magnitude.
  • Numerous software libraries and ontologies exist for handling quantities and units.
  • Current implementations vary in addressing ad hoc units, ratios, and uncertainty.

Purpose of the Study:

  • To describe a novel architecture for a consistent and comprehensive approach to quantity value functions.
  • To promote convergent thinking and standardization in the development of quantity and unit software.

Main Methods:

  • Development of a software architecture designed to handle a complete set of quantity functions.
  • Focus on a simple and consistent framework for managing numerical values and their associated units.
Keywords:
QuantitySIUncertaintyUnitUnit 1Value

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Main Results:

  • A proposed architecture that integrates various aspects of quantity representation, including SI units, ad hoc units, ratios, and uncertainty.
  • A pathway towards more unified and consistent software implementations for scientific data.

Conclusions:

  • The described architecture offers a standardized method for software dealing with quantities and units.
  • Encourages consistency across disparate software implementations, improving scientific data management and interoperability.