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Algorithmic optimization method for effort estimation

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dc.title Algorithmic optimization method for effort estimation en
dc.contributor.author Šilhavý, Radek
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Šilhavý, Petr
dc.relation.ispartof Programming and Computer Software
dc.identifier.issn 0361-7688 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2016
utb.relation.volume 42
utb.relation.issue 3
dc.citation.spage 161
dc.citation.epage 166
dc.type article
dc.language.iso en
dc.publisher Maik Nauka Publishing / Springer SBM
dc.identifier.doi 10.1134/S0361768816030087
dc.relation.uri https://link.springer.com/article/10.1134/S0361768816030087
dc.description.abstract This paper presents an improvement of an effort estimation method that can be used to predict the level of effort for software development projects. A new estimation approach based on a two-phase algorithm is used. In the first phase, we apply a calculation based on use case points (UCPs). In the second phase, we add correction values (a1, a2) obtained via least squares regression. This approach employs historical project data to refine the estimate. By applying the least squares regression approach, the algorithm filters out estimation errors caused by human factors and company practice. © 2016, Pleiades Publishing, Ltd. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1006386
utb.identifier.obdid 43876105
utb.identifier.scopus 2-s2.0-84971223685
utb.identifier.wok 000376603900005
utb.source j-scopus
dc.date.accessioned 2016-07-26T14:58:24Z
dc.date.available 2016-07-26T14:58:24Z
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Prokopová, Zdenka
utb.contributor.internalauthor Šilhavý, Petr
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