Early LOC Estimation of Web Apps Created Using Yii Framework by Nonlinear Regression Models

Authors: Sergiy Prykhodko, Ivan Shutko, Andrii Prykhodko

Abstract: We have performed early LOC estimation of Web applications (apps) created using the Yii framework by three nonlinear regression models with three predictors based on the normalizing transformations. We used two univariate transformations (the decimal logarithm and the Box-Cox transformation) and the Box-Cox four-variate transformation for constructing nonlinear regression models. The nonlinear regression model constructed by the Box-Cox four-variate transformation has better size prediction results compared to other regression ones based on the univariate transformations.

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 20, 2021, Art. #35

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Sergiy Prykhodko, Ivan Shutko, Andrii Prykhodko, "Early LOC Estimation of Web Apps Created Using Yii Framework by Nonlinear Regression Models," WSEAS Transactions on Computers, vol. 20, pp. 321-328, 2021, DOI:10.37394/23205.2021.20.35
Sergiy Prykhodko, Ivan Shutko, Andrii Prykhodko. Early LOC Estimation of Web Apps Created Using Yii Framework by Nonlinear Regression Models. WSEAS Transactions on Computers. 2021;20:321-328. 10.37394/23205.2021.20.35
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