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Algorithmic optimisation method for improving use case points estimation

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dc.title Algorithmic optimisation method for improving use case points estimation en
dc.contributor.author Šilhavý, Radek
dc.contributor.author Šilhavý, Petr
dc.contributor.author Prokopová, Zdenka
dc.relation.ispartof PLoS ONE
dc.identifier.issn 1932-6203 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2015
utb.relation.volume 10
utb.relation.issue 11
dc.type article
dc.language.iso en
dc.publisher Public Library Science
dc.identifier.doi 10.1371/journal.pone.0141887
dc.relation.uri http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141887
dc.description.abstract This paper presents a new size estimation method that can be used to estimate size level for software engineering projects. The Algorithmic Optimisation Method is based on Use Case Points and on Multiple Least Square Regression. The method is derived into three phases. The first phase deals with calculation Use Case Points and correction coefficients values. Correction coefficients are obtained by using Multiple Least Square Regression. New project is estimated in the second and third phase. In the second phase Use Case Points parameters for new estimation are set up and in the third phase project estimation is performed. Final estimation is obtained by using newly developed estimation equation, which used two correction coefficients. The Algorithmic Optimisation Method performs approximately 43% better than the Use Case Points method, based on their magnitude of relative error score. All results were evaluated by standard approach: visual inspection, goodness of fit measure and statistical significance. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1005775
utb.identifier.obdid 43874288
utb.identifier.scopus 2-s2.0-84952684608
utb.identifier.wok 000364422800011
utb.identifier.pubmed 26550835
utb.identifier.coden POLNC
utb.source j-wok
dc.date.accessioned 2016-01-15T10:59:51Z
dc.date.available 2016-01-15T10:59:51Z
dc.description.sponsorship Department of Computers and Communication System of the Faculty of Applied Informatics (Tomas Bata University in Zlin)
dc.rights Attribution-NonCommercial-NoDerivs 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Šilhavý, Petr
utb.contributor.internalauthor Prokopová, Zdenka
utb.fulltext.affiliation Radek Silhavy*, Petr Silhavy, Zdenka Prokopova Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic * rsilhavy@fai.utb.cz
utb.fulltext.dates Received: July 13, 2015 Accepted: October 14, 2015 Published: November 9, 2015
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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Attribution-NonCommercial-NoDerivs 4.0 International Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 4.0 International