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dc.title | Evaluation of data clustering for stepwise linear regression on use case points estimation | 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 | 978-3-319-57140-9 | |
dc.date.issued | 2017 | |
utb.relation.volume | 575 | |
dc.citation.spage | 491 | |
dc.citation.epage | 496 | |
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_52 | |
dc.relation.uri | https://link.springer.com/chapter/10.1007/978-3-319-57141-6_52 | |
dc.subject | Clustering | en |
dc.subject | Effort estimation | en |
dc.subject | Parametric model | en |
dc.subject | Stepwise linear regression | en |
dc.subject | Use case points | en |
dc.description.abstract | In this paper, stepwise linear regression model in conjunction with clustering for effort estimation is investigated. Effect of clustering is compared to Use Case Points model. The 2 to 20 clusters were tested. As shown increasing a number of clusters brings lower prediction errors. More clusters lower a distance between clusters members, which allows to construct more capable stepwise linear regression model. © Springer International Publishing AG 2017. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1007392 | |
utb.identifier.obdid | 43877553 | |
utb.identifier.scopus | 2-s2.0-85018693427 | |
utb.identifier.wok | 000405338500052 | |
utb.source | d-scopus | |
dc.date.accessioned | 2017-09-08T12:14:50Z | |
dc.date.available | 2017-09-08T12:14:50Z | |
utb.contributor.internalauthor | Šilhavý, Petr | |
utb.contributor.internalauthor | Šilhavý, Radek | |
utb.contributor.internalauthor | Prokopová, Zdenka | |
utb.fulltext.affiliation | Petr Silhavy, Radek Silhavy, Zdenka Prokopova Faculty of Applied Informatics, Tomas Bata University in Zlin, nám T.G. Masaryka 5555, Zlin, Czech Republic {psilhavy,rsilhavy,prokopova}@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 |