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A new approach to calibrating functional complexity weight in software development effort estimation

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dc.title A new approach to calibrating functional complexity weight in software development effort estimation en
dc.contributor.author Vo Van, Hai
dc.contributor.author Ho, Le Thi Kim Nhung
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Šilhavý, Radek
dc.contributor.author Šilhavý, Petr
dc.relation.ispartof Computers
dc.identifier.issn 2073-431X Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2022-01-22
utb.relation.volume 11
utb.relation.issue 2
dc.citation.spage 15
dc.type article
dc.language.iso en
dc.publisher MDPI
dc.identifier.doi 10.3390/computers11020015
dc.relation.uri https://www.mdpi.com/2073-431X/11/2/15
dc.subject software development effort estimation en
dc.subject function point analysis en
dc.subject functional complexity weight en
dc.description.abstract Function point analysis is a widely used metric in the software industry for development effort estimation. It was proposed in the 1970s, and then standardized by the International Function Point Users Group, as accepted by many organizations worldwide. While the software industry has grown rapidly, the weight values specified for the standard function point counting have remained the same since its inception. Another problem is that software development in different industry sectors is peculiar, but basic rules apply to all. These raise important questions about the validity of weight values in practical applications. In this study, we propose an algorithm for calibrating the standardized functional complexity weights, aiming to estimate a more accurate software size that fits specific software applications, reflects software industry trends, and improves the effort estimation of software projects. The results show that the proposed algorithms improve effort estimation accuracy against the baseline method. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010817
utb.identifier.obdid 43884243
utb.identifier.scopus 2-s2.0-85123772291
utb.identifier.wok 000763437100001
utb.source j-scopus
dc.date.accessioned 2022-02-07T11:18:22Z
dc.date.available 2022-02-07T11:18:22Z
dc.description.sponsorship RVO/FAI/2021/002
dc.description.sponsorship Faculty of Applied Informatics, Tomas Bata University in Zlin [RVO/FAI/2021/002]
dc.rights Attribution 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Vo Van, Hai
utb.contributor.internalauthor Ho, Le Thi Kim Nhung
utb.contributor.internalauthor Prokopová, Zdenka
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Šilhavý, Petr
utb.fulltext.affiliation Vo Van Hai * , Ho Le Thi Kim Nhung , Zdenka Prokopova, Radek Silhavy and Petr Silhavy Department of Computer and Communication Systems, Tomas Bata University in Zlin, Nam. T.G.M. 5555, 76001 Zlin, Czech Republic; lho@utb.cz (H.L.T.K.N.); prokopova@utb.cz (Z.P.); rsilhavy@utb.cz (R.S.); psilhavy@utb.cz (P.S.) * Correspondence: vo_van@utb.cz
utb.fulltext.dates Received: 15 December 2021 Accepted: 19 January 2022 Published: 22 January 2022
utb.fulltext.sponsorship This research was funded by the Faculty of Applied Informatics, Tomas Bata University in Zlin, under Project No.: RVO/FAI/2021/002.
utb.wos.affiliation [Hai, Vo Van; Nhung, Ho Le Thi Kim; Prokopova, Zdenka; Silhavy, Radek; Silhavy, Petr] Tomas Bata Univ Zlin, Dept Comp & Commun Syst, TGM 5555, Zlin 76001, Czech Republic
utb.scopus.affiliation Department of Computer and Communication Systems, Tomas Bata University in Zlin, Nam. T.G.M. 5555, Zlin, 76001, Czech Republic
utb.fulltext.projects RVO/FAI/2021/002
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.ou Department of Computer and Communication Systems
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Attribution 4.0 International Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je Attribution 4.0 International