Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86089127" target="_blank" >RIV/61989100:27240/14:86089127 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86089127
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-319-01781-5_4" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-319-01781-5_4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-01781-5_4" target="_blank" >10.1007/978-3-319-01781-5_4</a>
Alternative languages
Result language
angličtina
Original language name
Fuzzy Rules and SVM Approach to the Estimation of Use Case Parameters
Original language 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.
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
2014
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 237
ISBN
978-3-319-01780-8
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
37-47
Publisher name
Springer
Place of publication
Basel
Event location
Ostrava
Event date
Aug 22, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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