利用非线性回归模型对使用Yii框架创建的Web应用程序进行早期LOC估计

S. Prykhodko, I. Shutko, A. Prykhodko
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引用次数: 1

摘要

我们已经对使用Yii框架创建的Web应用程序进行了早期的LOC估计,这些应用程序是通过三个非线性回归模型和三个基于规范化转换的预测器创建的。我们使用两个单变量变换(十进制对数和Box-Cox变换)和Box-Cox四变量变换来构建非线性回归模型。采用Box-Cox四变量变换构建的非线性回归模型比其他基于单变量变换的回归模型具有更好的尺寸预测效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early LOC Estimation of Web Apps Created Using Yii Framework by Nonlinear Regression Models
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.
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