Toward improving the efficiency of software development effort estimation via clustering analysis

V Van Hai, HLTK Nhung, Z Prokopova, R Silhavy… - IEEE …, 2022 - ieeexplore.ieee.org
Introduction: The precise estimation of software effort is a significant difficulty that project
managers encounter during software development. Inaccurate forecasting leads to either …

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 …

A review of software effort estimation by using functional points analysis

V Van Hai, H Le Thi Kim Nhung, HT Hoc - … and Software 2019, Vol. 2 3, 2019 - Springer
The estimation of the Software Development Effort,(further only SDE), value is critical for the
effective management of any software industry. Function Point Analysis,(further only FPA)-is …

A new approach to calibrating functional complexity weight in software development effort estimation

VV Hai, HLTK Nhung, Z Prokopova, R Silhavy… - Computers, 2022 - mdpi.com
Function point analysis is a widely used metric in the software industry for development effort
estimation. It was proposed in the 1970s, and then standardized by the International …

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 …

Toward applying agglomerative hierarchical clustering in improving the software development effort estimation

VV Hai, HLLL Nhung, R Jasek - Computer Science On-line Conference, 2022 - Springer
Background: There are many studies on the effect of data clustering on the effort estimation
process. Most of them are on partitioning and density-based clustering, and some use …

VAF factor influence on the accuracy of the effort estimation provided by modified function points methods

Z Prokopova, P Šilhavý, R Šilhavý - Annals of DAAAM and …, 2018 - publikace.k.utb.cz
The paper presents the Function Points (FP) method, which can be used for a preliminary
effort estimation using limited information. Despite the potential for early use of the effort …

A productivity optimising model for improving software effort estimation

VV Hai, HLTK Nhung, HT Hoc - … in Intelligent Systems: Proceedings of 4th …, 2020 - Springer
The estimation of software development effort is a critical task for the effective management
of any software industry. Despite the fact that it has been under development for a long time …

[PDF][PDF] A New Approach to Calibrating Functional Complexity Weight in Software Development Effort Estimation. Computers 2022, 11, 15

VV Hai, H Nhung, Z Prokopova, R Silhavy, P Silhavy - 2022 - academia.edu
Function point analysis is a widely used metric in the software industry for development effort
estimation. It was proposed in the 1970s, and then standardized by the International …

Empirical Evidence in Early Stage Software Effort Estimation Using Data Flow Diagram

V Van Hai, H Le Thi Kim Nhung, HT Hoc - … On-line Conference 2021, Vol. 1, 2021 - Springer
Software effort estimation in a very early stage of the application development lifecycle is
always a challenge for project managers. Many researchers have proposed different …