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The effects of clustering to software size estimation for the use case points methods

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dc.title The effects of clustering to software size estimation for the use case points methods en
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Šilhavý, Radek
dc.contributor.author Šilhavý, Petr
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 9783319571409
dc.date.issued 2017
utb.relation.volume 575
dc.citation.spage 479
dc.citation.epage 490
dc.event.title 6th Computer Science On-line Conference, CSOC 2017
dc.event.sdate 2017-04-26
dc.event.edate 2017-04-29
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer Verlag
dc.identifier.doi 10.1007/978-3-319-57141-6_51
dc.relation.uri https://link.springer.com/chapter/10.1007/978-3-319-57141-6_51
dc.subject Algorithmic optimisation method en
dc.subject Clustering en
dc.subject Software size estimation en
dc.subject Use case points en
dc.description.abstract The main objective of the paper is to present the suitability and effects of several different clustering methods for improving accuracy of software size estimation. For software size estimation was used the Algorithmic Optimisation Method (AOM), which is based Use Case Points (UCP) method. The comparison of K-means, Hierarchical and Density-based clustering is provided. Gap, Silhouette and Calinski-Harabasz criterion were selected as an evaluation criterion for clustering quality. Estimation ability of clustered model is compared on Sum of squared error (SSE). Results shows that clustering improves an estimation ability. © Springer International Publishing AG 2017. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007391
utb.identifier.obdid 43877551
utb.identifier.scopus 2-s2.0-85018708022
utb.identifier.wok 000405338500051
utb.source d-scopus
dc.date.accessioned 2017-09-08T12:14:50Z
dc.date.available 2017-09-08T12:14:50Z
utb.contributor.internalauthor Prokopová, Zdenka
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Šilhavý, Petr
utb.fulltext.affiliation Zdenka Prokopova, Radek Silhavy, Petr Silhavy Faculty of Applied Informatics, Tomas Bata University in Zlin, nam T.G. Masaryka 5555, Zlin, Czech Republic {prokopova,rsilhavy,psilhavy}@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Applied Informatics
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