Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis

2020
Sergiy Prykhodko, Natalia Prykhodko, Kateryna Knyrik

The authors consider the construction of a nonlinear multiple regression model, its confidence and prediction intervals to evaluate the efforts of mobile application development in the planning phase based on the multivariate normalizing transformation and outlier detection. The constructed model is compared to the linear regression model and nonlinear regression models based on the univariate transformations, such as the decimal logarithm, Box–Cox, and Johnson transformation. This model, in comparison with other regression models, has better prediction accuracy.

Atslēgas vārdi
Estimation, maximum likelihood estimation, mobile applications, parameter estimation, planning, regression analysis, transform.
DOI
10.2478/acss-2020-0019

Prykhodko, S., Prykhodko, N., Knyrik, K. Estimating the Efforts of Mobile Application Development in the Planning Phase Using Nonlinear Regression Analysis. Applied Computer Systems, 2020, Vol. 25, No. 2, 172.-179. lpp. ISSN 2255-8683. e-ISSN 2255-8691. Pieejams: doi:10.2478/acss-2020-0019

Publikācijas valoda
English (en)