Using Analytical Programming for Software Effort Estimation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F16%3A43875310" target="_blank" >RIV/70883521:28140/16:43875310 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Analytical Programming for Software Effort Estimation
Original language description
This paper evaluates the usage of analytical programming for software effort estimation. Analytical programming and differential evolution generate regression models. The new model was generated by analytical programming and it was tested and compared with Karner's model to assess insight to its properties. Mean Magnitude of Relative Error and k-fold cross validation were used to assess the reliability to this experiment. The experimental results shows that the new model generated by analytical programming outperforms the Karner's equation about 12% MMRE. Moreover, this work shows that analytical programming method is viable method for calibrating Use Case Points method. All results were evaluated by stan- dard approach: visual inspection and statistical significance testing.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Software Engineering Perspectives and Application in Intelligent Systems: Proceedings of the 5th computer science on-line conference 2016, Vol. 2
ISBN
978-3-319-33620-6
ISSN
2194-5357
e-ISSN
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Number of pages
12
Pages from-to
261-272
Publisher name
Springer-Verlag Berlin
Place of publication
Heidelberg
Event location
on-line
Event date
Apr 27, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000385788200024

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