A systematic review of studies on use case points and expert‐based estimation of software development effort

Y Mahmood, N Kama, A Azmi - Journal of Software: Evolution …, 2020 - Wiley Online Library
In recent years, due to significant evolution in adopting new technologies and development
methodologies in the field of software engineering, the developers and researchers are …

[HTML][HTML] Analysis and selection of a regression model for the use case points method using a stepwise approach

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 …

Parametric software effort estimation based on optimizing correction factors and multiple linear regression

HLTK Nhung, V Van Hai, R Silhavy, Z Prokopova… - Ieee …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Evaluating subset selection methods for use case points estimation

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 …

Comparing multiple linear regression, deep learning and multiple perceptron for functional points estimation

HT Hoc, R Silhavy, Z Prokopova, P Silhavy - IEEE Access, 2022 - ieeexplore.ieee.org
This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron
Neural Networks with Multiple Linear Regression in terms of software effort estimations …

Using actors and use cases for software size estimation

R Silhavy, P Silhavy, Z Prokopova - Electronics, 2021 - mdpi.com
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 …

A review of the regression models applicable to software project effort estimation

HT Hoc, V Van Hai, H Le Thi Kim Nhung - … and Software 2019, Vol. 2 3, 2019 - Springer
Abstract Software Project Effort Estimation-(further only SPEE), is an essential step in a
software project; related to approximating Development Effort before development is …

More Accurate Cost Estimation for Internet of Things Projects by Adaptation of Use Case Points Methodology

R Silhavy, M Bures, M Alipio… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
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 …

Comparing stacking ensemble and deep learning for software project effort estimation

HT Hoc, R Silhavy, Z Prokopova, P Silhavy - IEEE Access, 2023 - ieeexplore.ieee.org
This study focuses on improving the accuracy of effort estimation by employing ensemble,
deep learning, and transfer learning techniques. An ensemble approach is utilized …

Propose-specific information related to prediction level at X and mean magnitude of relative error: A case study of software effort estimation

H Huynh Thai, P Silhavy, M Fajkus, Z Prokopova… - Mathematics, 2022 - mdpi.com
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 …