2019
DOI: 10.1016/j.infsof.2019.05.006
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Specifying quantities in software models

Abstract: Context: An essential requirement for the design and development of any engineering application that deals with realworld physical systems is the formal representation and processing of physical quantities, comprising both measurement uncertainty and units. Although solutions exist for several programming languages and simulation frameworks, this problem has not yet been fully solved for software models. Objective: This paper shows how both measurement uncertainty and units can be effectively incorporated into… Show more

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Cited by 11 publications
(5 citation statements)
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References 29 publications
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“…In acoustics, while one kilohertz (1 kHz) is 1000 Hz, one kibihertz (1 KiHz) is 1024 Hz, 10 octaves above 1 Hz [92], [93]. If the interval between 1 Hz and 1 kHz is divided into 30 equal subintervals, the size of each subinterval is equal to one-tenth of a decade but is sometimes referred to for historical reasons as a "one-third octave.…”
Section: Boxmentioning
confidence: 99%
“…In acoustics, while one kilohertz (1 kHz) is 1000 Hz, one kibihertz (1 KiHz) is 1024 Hz, 10 octaves above 1 Hz [92], [93]. If the interval between 1 Hz and 1 kHz is divided into 30 equal subintervals, the size of each subinterval is equal to one-tenth of a decade but is sometimes referred to for historical reasons as a "one-third octave.…”
Section: Boxmentioning
confidence: 99%
“…Vallecillo et al (Burgueño, Mayerhofer, et al 2019;Bertoa et al 2020) present an approach and methodology to capture measurement uncertainty in instances of UML/OCL models. They have extended the basic UML/OCL datatypes with new datatypes such as UReal, UInteger and UString and have defined an algebra of operations for these new types.…”
Section: Capturing Instance-level Uncertainty In Mbementioning
confidence: 99%
“…The OMG is also working on a metamodel for the precise specification of uncertainty (PSUM) (Object Management Group 2017), based on the U-Model (Zhang et al 2016) and the Uncertum conceptual model (Zhang et al 2019). Some works address particular types of uncertainties using different notations and logics, namely, Measurement uncertainty (Burgueño, Mayerhofer, et al 2019;Bertoa et al 2020); Design uncertainty (Zhang et al 2018;Famelis et al 2012;Salay et al 2013); Occurrence uncertainty (Burgueño et al 2018); Belief uncertainty (Burgueño, Clarisó, et al 2019;Martín-Rodilla & Gonzalez-Perez 2019), or Data uncertainty (Jing et al 2008;Zhou et al 2009;Wang & Bai 2019). However, the specification of the behavior of agents subject to uncertainty, which combines several of these types of uncertainty, has received less attention by the modeling community (Giese et al 2014).…”
Section: Uncertaintymentioning
confidence: 99%