Repository URL:
http://publikace.k.utb.cz/handle/10563/1007392, http://hdl.handle.net/10563/1007392
DOI:
10.1007/978-3-319-57141-6_52
Author(s):
Šilhavý, Petr, Šilhavý, Radek, Prokopová, Zdenka
Publisher(s):
Springer Nature, Springer Verlag
Tags:
Engineering, Computer Science, Clustering, Effort estimation, Parametric model, Stepwise linear regression, Use case points
book chapter description
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.

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