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Categorical variable segmentation model for software development effort estimation

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dc.title Categorical variable segmentation model for software development effort estimation en
dc.contributor.author Šilhavý, Petr
dc.contributor.author Šilhavý, Radek
dc.contributor.author Prokopová, Zdenka
dc.relation.ispartof IEEE Access
dc.identifier.issn 2169-3536 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 7
dc.citation.spage 9618
dc.citation.epage 9626
dc.type article
dc.language.iso en
dc.publisher Institute of Electrical and Electronics Engineers Inc.
dc.identifier.doi 10.1109/ACCESS.2019.2891878
dc.subject Estimation en
dc.subject function point analysis en
dc.subject software engineering en
dc.subject software measurement en
dc.description.abstract This paper proposes a new software development effort estimation model. The new model's design is based on the function point analysis, categorical variable segmentation (CVS), and stepwise regression. The stepwise regression method is used for the creation of the unique estimation model of each segment. The estimation accuracy of the proposed model is compared to clustering-based models and the international function point user group model. It is shown that the proposed model increases estimation accuracy when compared to baseline methods: non-clustered functional point analysis and clustering-based models. The new CVS model achieves a significantly higher accuracy than the baseline methods. © 2013 IEEE. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008515
utb.identifier.obdid 43880039
utb.identifier.scopus 2-s2.0-85061093305
utb.identifier.wok 000457958600001
utb.source j-scopus
dc.date.accessioned 2019-07-08T11:59:52Z
dc.date.available 2019-07-08T11:59:52Z
dc.description.sponsorship Faculty of Applied Informatics, Tomas Bata University in Zlin [RO30186021025/2102]
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Šilhavý, Petr
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Prokopová, Zdenka
utb.fulltext.affiliation PETR SILHAVY, RADEK SILHAVY, ZDENKA PROKOPOVA Department of Computer and Communication Systems, Tomas Bata University in Zlín, 760 01 Zlín, Czech Republic Corresponding author: Petr Silhavy (psilhavy@utb.cz)
utb.fulltext.dates Received December 11, 2018 accepted January 4, 2019 date of publication January 11, 2019 date of current version January 29, 2019.
utb.scopus.affiliation Department of Computer and Communication Systems, Tomas Bata University in Zlín, Zlín, 760 01, Czech Republic
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Computer and Communication Systems
utb.fulltext.ou Department of Computer and Communication Systems
utb.fulltext.ou Department of Computer and Communication Systems
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International