Application of naïve Bayes in classification of use cases
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F16%3A86097171" target="_blank" >RIV/61989100:27240/16:86097171 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/16:86097171
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-29504-6_35" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-29504-6_35</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_35" target="_blank" >10.1007/978-3-319-29504-6_35</a>
Alternative languages
Result language
angličtina
Original language name
Application of naïve Bayes in classification of use cases
Original language description
Our supportive method helps improve accuracy of software effort estimation, using results of classification of Use Cases. They are classified using machine-learning method called Naïve Bayes Classifier. The result of this classification helps determine the risk of underestimation of tasks in future work on the software project.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing. Volume 427
ISBN
978-3-319-29503-9
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
361-370
Publisher name
Springer Verlag
Place of publication
London
Event location
Paříž
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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