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Outliners detection method for software effort estimation models

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dc.title Outliners detection method for software effort estimation models 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 9783030198060
dc.date.issued 2019
utb.relation.volume 984
dc.citation.spage 444
dc.citation.epage 455
dc.event.title 8th Computer Science On-line Conference, CSOC 2019
dc.event.location online
utb.event.state-en Czech Republic
utb.event.state-cs Česká republika
dc.event.sdate 2019-04-24
dc.event.edate 2019-04-27
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-030-19807-7_43
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-030-19807-7_43
dc.subject Function point analysis en
dc.subject Outliner detection en
dc.subject Product delivery rate en
dc.subject Software development effort estimation en
dc.subject Stepwise regression en
dc.description.abstract Outliner detection methods are studied as an approach for simulated in-house dataset creation. In-house datasets are understood as an approach for increasing the estimation accuracy of the functional points-based estimation models. The method which was selected as the best option for outliners’ detection is the median absolute deviation. The product delivery rate was used as a parameter for the median absolution deviation method. The estimation accuracy was compared for a public dataset and simulated in-house datasets, using stepwise regression models. Results show that in-house datasets increase estimation accuracy. © 2019, Springer Nature Switzerland AG. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008753
utb.identifier.obdid 43880043
utb.identifier.scopus 2-s2.0-85065882239
utb.identifier.wok 000503384000043
utb.source d-scopus
dc.date.accessioned 2019-08-13T10:17:17Z
dc.date.available 2019-08-13T10:17:17Z
utb.contributor.internalauthor Šilhavý, Petr
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Prokopová, Zdenka
utb.wos.affiliation [Silhavy, Petr; Silhavy, Radek; Prokopova, Zdenka] Tomas Bata Univ Zlin, Fac Appl Informat, Nam TGM 5555, Zlin 76001, Czech Republic
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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