Applied least square regression in use case estimation precision tuning

Šilhavý, Radek; Šilhavý, Petr; Prokopová, Zdenka

Title:	Applied least square regression in use case estimation precision tuning
Author:	Šilhavý, Radek; Šilhavý, Petr; Prokopová, Zdenka
Document type:	Conference paper (English)
Source document:	Advances in Intelligent Systems and ComputingSoftware Engineering in Intelligent Systems (CSOC2015), vol 3. 2015, vol. 349, p. 11-17
ISSN:	2194-5357 (Sherpa/RoMEO, JCR)

ISBN:	978-331918472-2
DOI:	https://doi.org/10.1007/978-3-319-18473-9_2
Abstract:	In the presented paper the new software effort estimation method is proposed. The Least Square Regression is used to predict a value of correction parameters, which have a significant impact. The accuracy estimationis of 85% better than the convectional use case points methods in tested dataset. © Springer International Publishing Switzerland 2015.
Full text:	https://link.springer.com/chapter/10.1007/978-3-319-18473-9_2
Physical copies:	Copies in TBU Library catalogue
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Citace článku v konferenčním sborníku:
ŠILHAVÝ, Radek, Petr ŠILHAVÝ a Zdenka PROKOPOVÁ. Applied least square regression in use case estimation precision tuning. In: Advances in Intelligent Systems and Computing [online]. online: Springer Verlag, 2015, s. 11-17. [cit. 2025-11-01]. ISSN 2194-5357. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-319-18473-9_2.

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