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Stepwise regression clustering method in function points estimation

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dc.title Stepwise regression clustering method in function points estimation en
dc.contributor.author Šilhavý, Petr
dc.contributor.author Šilhavý, Radek
dc.contributor.author Prokopová, Zdenka
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783030002107
dc.date.issued 2019
utb.relation.volume 859
dc.citation.spage 333
dc.citation.epage 340
dc.event.title 2nd Computational Methods in Systems and Software, CoMeSySo 2018
dc.event.location Szczecin
utb.event.state-en Poland
utb.event.state-cs Polsko
dc.event.sdate 2018-09-12
dc.event.edate 2018-09-14
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-00211-4_29
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-00211-4_29
dc.subject Development effort prediction en
dc.subject Function point analysis en
dc.subject Regression clustering en
dc.subject Stepwise regression en
dc.description.abstract This study proposed a stepwise regression clustering method for software development effort estimation. The proposed algorithm is based on functional points analysis and is used for forming clusters, which contains analogical projects. Furthermore, it is expected that clusters will be shaped well for the regression prediction models. The proposed models are based on Cook distance, which is used for elimination project from clusters. Model performance is proved for selected clusters. Overall model performance influenced by selected clusters, therefore, there is no statistically significant difference between regression models based on clustered and un-clustered datasets. © Springer Nature Switzerland AG. 2019. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008233
utb.identifier.scopus 2-s2.0-85053606235
utb.source d-scopus
dc.date.accessioned 2018-10-18T10:31:46Z
dc.date.available 2018-10-18T10:31:46Z
utb.contributor.internalauthor Šilhavý, Petr
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Prokopová, Zdenka
utb.scopus.affiliation Faculty of Applied Informatics, Tomas Bata University in Zlin, nam. T.G.M 5555, Zlin, 76001, Czech Republic
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