Patterns for Handling Numerical Uncertainty in Software Applications

Michael Krisper, Johannes Iber, Jürgen Dobaj, Christian Josef Kreiner

Research output: Working paperDiscussion paperResearchpeer-review

Abstract

In this paper, the UNCERTAIN VALUE and two other supportive design patterns (UNCERTAINTY PROPAGATION and VALUE INFER-ENCE) are presented. UNCERTAIN VALUE manages uncertainty and tolerance limits in numerical data values to represent proba-bilities and likelihoods, as well as error-margins. This uncertainty is propagated throughout the system, updated in calculations according to the UNCERTAINTY PROPAGATION rules, to be finally considered in comparisons and decisions to fulfill a needed deci-sion confidence. For this some VALUE INFERENCE technique must be used. Altogether, this can be used to evaluate the precision and accuracy of values and to make better informed and more precise decisions. This can also be used for sensor fusion, probabil-istic models, predictive maintenance, and in safety to model failure scenarios for mitigating hazards and risks.
Original languageEnglish
Number of pages7
Publication statusUnpublished - 2018

Fingerprint

Application programs
Hazards
Fusion reactions
Sensors
Uncertainty

Keywords

  • design patterns
  • type safety
  • quantities
  • unit system
  • si units
  • simulations
  • calculations

ASJC Scopus subject areas

  • Software

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Application

Cite this

Patterns for Handling Numerical Uncertainty in Software Applications. / Krisper, Michael; Iber, Johannes; Dobaj, Jürgen; Kreiner, Christian Josef.

2018.

Research output: Working paperDiscussion paperResearchpeer-review

@techreport{8038aa96eb95483fb1b13545f62f9fd0,
title = "Patterns for Handling Numerical Uncertainty in Software Applications",
abstract = "In this paper, the UNCERTAIN VALUE and two other supportive design patterns (UNCERTAINTY PROPAGATION and VALUE INFER-ENCE) are presented. UNCERTAIN VALUE manages uncertainty and tolerance limits in numerical data values to represent proba-bilities and likelihoods, as well as error-margins. This uncertainty is propagated throughout the system, updated in calculations according to the UNCERTAINTY PROPAGATION rules, to be finally considered in comparisons and decisions to fulfill a needed deci-sion confidence. For this some VALUE INFERENCE technique must be used. Altogether, this can be used to evaluate the precision and accuracy of values and to make better informed and more precise decisions. This can also be used for sensor fusion, probabil-istic models, predictive maintenance, and in safety to model failure scenarios for mitigating hazards and risks.",
keywords = "design patterns, type safety, quantities, unit system, si units, simulations, calculations",
author = "Michael Krisper and Johannes Iber and J{\"u}rgen Dobaj and Kreiner, {Christian Josef}",
year = "2018",
language = "English",
type = "WorkingPaper",

}

TY - UNPB

T1 - Patterns for Handling Numerical Uncertainty in Software Applications

AU - Krisper, Michael

AU - Iber, Johannes

AU - Dobaj, Jürgen

AU - Kreiner, Christian Josef

PY - 2018

Y1 - 2018

N2 - In this paper, the UNCERTAIN VALUE and two other supportive design patterns (UNCERTAINTY PROPAGATION and VALUE INFER-ENCE) are presented. UNCERTAIN VALUE manages uncertainty and tolerance limits in numerical data values to represent proba-bilities and likelihoods, as well as error-margins. This uncertainty is propagated throughout the system, updated in calculations according to the UNCERTAINTY PROPAGATION rules, to be finally considered in comparisons and decisions to fulfill a needed deci-sion confidence. For this some VALUE INFERENCE technique must be used. Altogether, this can be used to evaluate the precision and accuracy of values and to make better informed and more precise decisions. This can also be used for sensor fusion, probabil-istic models, predictive maintenance, and in safety to model failure scenarios for mitigating hazards and risks.

AB - In this paper, the UNCERTAIN VALUE and two other supportive design patterns (UNCERTAINTY PROPAGATION and VALUE INFER-ENCE) are presented. UNCERTAIN VALUE manages uncertainty and tolerance limits in numerical data values to represent proba-bilities and likelihoods, as well as error-margins. This uncertainty is propagated throughout the system, updated in calculations according to the UNCERTAINTY PROPAGATION rules, to be finally considered in comparisons and decisions to fulfill a needed deci-sion confidence. For this some VALUE INFERENCE technique must be used. Altogether, this can be used to evaluate the precision and accuracy of values and to make better informed and more precise decisions. This can also be used for sensor fusion, probabil-istic models, predictive maintenance, and in safety to model failure scenarios for mitigating hazards and risks.

KW - design patterns

KW - type safety

KW - quantities

KW - unit system

KW - si units

KW - simulations

KW - calculations

M3 - Discussion paper

BT - Patterns for Handling Numerical Uncertainty in Software Applications

ER -