Michael Krisper, Johannes Iber, Jürgen Dobaj, Christian Kreiner
{"title":"Patterns for Implementing Uncertainty Propagation","authors":"Michael Krisper, Johannes Iber, Jürgen Dobaj, Christian Kreiner","doi":"10.1145/3282308.3282323","DOIUrl":null,"url":null,"abstract":"In this paper, the design patterns Uncertain Number and Propagation Strategy are presented. They are useful for storing uncertainties of values and propagating them throughout calculations in an application. Uncertain Number represents a numerical value and its respective uncertainty. Propagation Strategy represents the propagation method, to correctly propagate the uncertainty throughout an application. This is done according to the Law of Propagation of Uncertainty as defined in the Guide to Expression of Uncertainty in Measurements. This paper addresses software architects, designers and developers having to work with uncertain data e.g. coming from sensors or other measurements.","PeriodicalId":136534,"journal":{"name":"Proceedings of the 23rd European Conference on Pattern Languages of Programs","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 23rd European Conference on Pattern Languages of Programs","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3282308.3282323","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, the design patterns Uncertain Number and Propagation Strategy are presented. They are useful for storing uncertainties of values and propagating them throughout calculations in an application. Uncertain Number represents a numerical value and its respective uncertainty. Propagation Strategy represents the propagation method, to correctly propagate the uncertainty throughout an application. This is done according to the Law of Propagation of Uncertainty as defined in the Guide to Expression of Uncertainty in Measurements. This paper addresses software architects, designers and developers having to work with uncertain data e.g. coming from sensors or other measurements.