Evaluation of Data Clustering for Stepwise Linear Regression on Use Case Points Estimation

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 575)

Abstract

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.

Keywords

Effort estimation Clustering Use case points Stepwise linear regression Parametric model 

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Applied InformaticsTomas Bata University in ZlinZlinCzech Republic

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