R Silhavy, P Silhavy, Z Prokopova - Journal of Systems and Software, 2017 - Elsevier
This study investigates the significance of use case points (UCP) variables and the influence of the complexity of multiple linear regression models on software size estimation and …
Context: Effort estimation is one of the essential phases that must be accurately predicted in the early stage of software project development. Currently, solving problems that affect the …
R Silhavy, P Silhavy, Z Prokopova - Information and Software Technology, 2018 - Elsevier
Abstract When the Use Case Points method is used for software effort estimation, users are faced with low model accuracy which impacts on its practical application. This study …
This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations …
Software size estimation represents a complex task, which is based on data analysis or on an algorithmic estimation approach. Software size estimation is a nontrivial task, which is …
Abstract Software Project Effort Estimation-(further only SPEE), is an essential step in a software project; related to approximating Development Effort before development is …
This article adapts the use case points (UCPs) method to estimate the size and development effort (DE) required for the Internet of Things systems. Despite the extensive use of UCP in …
This study focuses on improving the accuracy of effort estimation by employing ensemble, deep learning, and transfer learning techniques. An ensemble approach is utilized …
The prediction level at x (PRED (x)) and mean magnitude of relative error (MMRE) are measured based on the magnitude of relative error between real and predicted values. They …