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VAF factor influence on the accuracy of the effort estimation provided by modified function points methods

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dc.title VAF factor influence on the accuracy of the effort estimation provided by modified function points methods en
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Šilhavý, Petr
dc.contributor.author Šilhavý, Radek
dc.relation.ispartof Annals of DAAAM and Proceedings of the International DAAAM Symposium
dc.identifier.issn 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-3-902734-20-4
dc.date.issued 2018
utb.relation.volume 29
utb.relation.issue 1
dc.citation.spage 76
dc.citation.epage 84
dc.event.title 29th International DAAAM Symposium on Intelligent Manufacturing and Automation, DAAAM 2018
dc.event.location Zadar
utb.event.state-en Croatia
utb.event.state-cs Chorvatsko
dc.event.sdate 2018-10-24
dc.event.edate 2018-10-27
dc.type conferenceObject
dc.language.iso en
dc.publisher Danube Adria Association for Automation and Manufacturing, DAAAM
dc.identifier.doi 10.2507/29th.daaam.proceedings.011
dc.relation.uri https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2018/011.pdf
dc.subject accuracy en
dc.subject development effort en
dc.subject function points en
dc.subject software estimation en
dc.subject VAF en
dc.description.abstract The paper presents the Function Points (FP) method, which can be used for a preliminary effort estimation using limited information. Despite the potential for early use of the effort estimation, FP provides meaningful and relatively accurate results. The authors aimed to design Modified Function Points (MFP) methods based on regression model and analyze the influence of Value Adjustment Factor (VAF) on the estimation accuracy of the development effort. For research purposes was selected the ISBSG dataset. Subsequently, the original dataset was reduced according to data requirements and divided into two parts the training and the testing section (in ratio 2:1). The presented analysis was processed as a preparatory phase for further research in this area. Matlab toolboxes were used for the design and verification of discussed algorithms. © 2018, Danube Adria Association for Automation and Manufacturing, DAAAM. All rights reserved. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010129
utb.identifier.obdid 43878686
utb.identifier.scopus 2-s2.0-85060087126
utb.source d-scopus
dc.date.accessioned 2021-01-08T14:02:33Z
dc.date.available 2021-01-08T14:02:33Z
dc.rights Attribution-NonCommercial 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Prokopová, Zdenka
utb.contributor.internalauthor Šilhavý, Petr
utb.contributor.internalauthor Šilhavý, Radek
utb.fulltext.affiliation Zdenka Prokopova, Petr Silhavy, Radek Silhavy
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Faculty of Applied Informatics, Tomas Bata University in Zlín within the Excellent Programme under the project No. RO30186021025 / 2102.
utb.fulltext.projects RO30186021025/2102
utb.fulltext.faculty -
utb.fulltext.ou -
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