Modeling the relationship between software effort and size using deming regression
Nikolaos Mittas, Makrina Viola Kosti, Vasiliki Argyropoulou, Lefteris Angelis · 2010
Background: The relation between software effort and size has been modeled in literature as exponential, in the sense that the natural logarithm of effort is expressed as a linear function of the logarithm of size. The common approach to estimate the parameters of the linear model is ordinary least squares regression which has been extensively applied to various datasets. The least squares estimation takes into account only the error arising from the dependent variable (effort), while the measurement of independent variable (size) is considered free of errors.