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Using analytical programming and UCP method for effort estimation

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dc.title Using analytical programming and UCP method for effort estimation en
dc.contributor.author Urbánek, Tomáš
dc.contributor.author Prokopová, Zdenka
dc.contributor.author Šilhavý, Radek
dc.contributor.author Sehnálek, Stanislav
dc.relation.ispartof Modern Trends and Techniques in Computer Science (CSOC 2014)
dc.relation.ispartof Advances in Intelligent Systems and Computing
dc.identifier.issn 2194-5357 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.isbn 978-331906739-1
dc.date.issued 2014
utb.relation.volume 285
dc.citation.spage 571
dc.citation.epage 581
dc.event.title 3rd Computer Science On-line Conference, CSOC 2014
dc.event.sdate 2014-04-28
dc.event.edate 2014-04-30
dc.type conferenceObject
dc.language.iso en
dc.publisher Springer-Verlag
dc.identifier.doi 10.1007/978-3-319-06740-7_49
dc.relation.uri https://link.springer.com/book/10.1007/978-3-319-06740-7
dc.subject Analytical programming en
dc.subject Effort estimation en
dc.subject Self-organizing migration algorithm en
dc.subject SOMA en
dc.subject UCP en
dc.subject Use case points en
dc.description.abstract This article is aimed to using the analytical programming and the Use Case Points method to estimate time effort in software engineering. The calculation of Use Case Points method is strictly algorithmically defined, and the calculation of this method is simple and fast. Despite a lot of research on this field, there are many attempts to calibrating the weights of Use Case Points method. In this paper is described idea that equation used in Use Case Points method could be less accurate in estimation than other equations. The aim of this research is to create new method, that will be able to create new equations for Use Case Points method. Analytical programming with self-organizing migration algorithm is used for this task. The experimental results shows that this method improving accuracy of effort estimation by 25-40%. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1004208
utb.identifier.obdid 43871563
utb.identifier.scopus 2-s2.0-84923771572
utb.identifier.wok 000370620000049
utb.source d-scopus
dc.date.accessioned 2015-05-06T06:58:26Z
dc.date.available 2015-05-06T06:58:26Z
utb.contributor.internalauthor Urbánek, Tomáš
utb.contributor.internalauthor Prokopová, Zdenka
utb.contributor.internalauthor Šilhavý, Radek
utb.contributor.internalauthor Sehnálek, Stanislav
utb.fulltext.affiliation Tomas Urbanek, Zdenka Prokopova, Radek Silhavy and Stanislav Sehnalek T. Urbanek (&) Z. Prokopova R. Silhavy S. Sehnalek Faculty of Applied Informatics, Tomas Bata University in Zlin, Nad Stranemi 4511, Zlin, Czech Republic e-mail: turbanek@fai.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This study was supported by the internal grant of TBU in Zlin No. IGA/FAI/2013/032 and No. IGA/FAI/2013/039 funded from the resources of specific university research.
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