Kontaktujte nás | Jazyk: čeština English
Název: | Evaluation of data clustering for stepwise linear regression on use case points estimation |
Autor: | Šilhavý, Petr; Šilhavý, Radek; Prokopová, Zdenka |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Advances in Intelligent Systems and Computing. 2017, vol. 575, p. 491-496 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-319-57140-9 |
DOI: | https://doi.org/10.1007/978-3-319-57141-6_52 |
Abstrakt: | In this paper, stepwise linear regression model in conjunction with clustering for effort estimation is investigated. Effect of clustering is compared to Use Case Points model. The 2 to 20 clusters were tested. As shown increasing a number of clusters brings lower prediction errors. More clusters lower a distance between clusters members, which allows to construct more capable stepwise linear regression model. © Springer International Publishing AG 2017. |
Plný text: | https://link.springer.com/chapter/10.1007/978-3-319-57141-6_52 |
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