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Statements

Subject Item
n2:RIV%2F61989100%3A27740%2F14%3A86089127%21RIV15-MSM-27740___
rdf:type
n9:Vysledek skos:Concept
rdfs:seeAlso
http://link.springer.com/chapter/10.1007%2F978-3-319-01781-5_4
dcterms:description
Many decisions that are needed for the planning of the software development project are based on previous experience and competency of project manager. One of the most important questions is how much effort will be necessary to complete the task. In our case, the task is described by the use case and manger has to estimate the effort to implement it. However, such estimations are not always correct, not estimated extra work has to be done sometimes. Our intent is to support manager’s decision by the estimation tool that uses know parameters of the use cases to predict other parameters that has to be estimated. This paper focuses on the usage of our method on the real data and evaluates its results in real development. The method uses parameterized use case model trained from the previously done use cases to predict extra work parameter. Estimation of test use cases is done several times according to the managers needs during the project execution. Many decisions that are needed for the planning of the software development project are based on previous experience and competency of project manager. One of the most important questions is how much effort will be necessary to complete the task. In our case, the task is described by the use case and manger has to estimate the effort to implement it. However, such estimations are not always correct, not estimated extra work has to be done sometimes. Our intent is to support manager’s decision by the estimation tool that uses know parameters of the use cases to predict other parameters that has to be estimated. This paper focuses on the usage of our method on the real data and evaluates its results in real development. The method uses parameterized use case model trained from the previously done use cases to predict extra work parameter. Estimation of test use cases is done several times according to the managers needs during the project execution.
dcterms:title
Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters
skos:prefLabel
Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters
skos:notation
RIV/61989100:27740/14:86089127!RIV15-MSM-27740___
n3:aktivita
n8:S
n3:aktivity
S
n3:dodaniDat
n18:2015
n3:domaciTvurceVysledku
n11:4347269
n3:druhVysledku
n15:D
n3:duvernostUdaju
n20:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
17832
n3:idVysledku
RIV/61989100:27740/14:86089127
n3:jazykVysledku
n12:eng
n3:klicovaSlova
fuzzy rules; SVM; estimation; software development
n3:klicoveSlovo
n5:estimation n5:fuzzy%20rules n5:software%20development n5:SVM
n3:kontrolniKodProRIV
[8C445D5F432F]
n3:mistoKonaniAkce
Ostrava
n3:mistoVydani
Basel
n3:nazevZdroje
Advances in Intelligent Systems and Computing. Volume 237
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
6
n3:rokUplatneniVysledku
n18:2014
n3:tvurceVysledku
Snášel, Václav Štolfa, Jakub Štolfa, Svatopluk Kopka, Martin Koběrský, Ondřej Krömer, Pavel
n3:typAkce
n17:WRD
n3:zahajeniAkce
2013-08-22+02:00
s:issn
2194-5357
s:numberOfPages
10
n14:doi
10.1007/978-3-319-01781-5_4
n21:hasPublisher
Springer-Verlag
n7:isbn
978-3-319-01780-8
n22:organizacniJednotka
27740