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 …

MUCPSO: A modified chaotic particle swarm optimization with uniform initialization for optimizing software effort estimation

A Ardiansyah, R Ferdiana, AE Permanasari - Applied Sciences, 2022 - mdpi.com
Particle Swarm Optimization is a metaheuristic optimization algorithm widely used across a
broad range of applications. The algorithm has certain primary advantages such as its ease …

Adaptive discretization using golden section to aid outlier detection for software development effort estimation

SS Gautam, V Singh - IEEE Access, 2022 - ieeexplore.ieee.org
The software engineering researchers have worked on different dimensions to facilitate
better software effort estimates, including those focusing on dataset quality improvement. In …

Review and Empirical Analysis of Software Effort Estimation

M Rahman, H Sarwar, MA Kader, T Gonãğalves… - IEEE …, 2024 - ieeexplore.ieee.org
The average software company spends a huge amount of its revenue on R&D for how to
deliver software on time. Accurate software effort estimation is critical for successful project …

[PDF][PDF] Review of existing datasets used for software effort estimation

M Rahman, T Goncalves, H Sarwar - Int. J. Adv. Comput. Sci. Appl., 2023 - academia.edu
The Software Effort Estimation (SEE) tool calculates an estimate of the amount of work that
will be necessary to effectively finish the project. Managers usually want to know how hard a …

Delving into Human Factors through LSTM by Navigating Environmental Complexity Factors within Use Case Points for Digital Enterprises

N Rankovic, D Rankovic - Journal of Theoretical and Applied Electronic …, 2024 - mdpi.com
Meeting customer requirements in software project management, even for large digital
enterprises, proves challenging due to unpredictable human factors. It involves meticulous …

Calibrating use case points using bayesian analysis

K Qi, A Hira, E Venson, BW Boehm - Proceedings of the 12th ACM/IEEE …, 2018 - dl.acm.org
Background: Use Case Points (UCPs) have been widely used to estimate software size for
object-oriented projects. Yet, many research papers criticize the UCPs methodology for not …

Power of LSTM and SHAP in the Use Case Point Approach for Software Effort and Cost Estimation

N Rankovic, D Rankovic - 2024 IEEE 22nd World Symposium …, 2024 - ieeexplore.ieee.org
In this paper, we explore the effectiveness of the most popular regression models within
Machine Learning (ML), such as XGBoost and MLP (Multilayer Percpetron) Regressor, and …

Random forests for predicting software effort estimation based on use-case points analysis

N Al Rababeh, A Bani Mustafa - AIP Conference Proceedings, 2023 - pubs.aip.org
Software estimation is vital for the success of software engineering projects. However,
predicting software effort is difficult due to software solutions' complexity, intangibility, and …

Regression for predicting effort in object-oriented software projects

N Alrababeh, AM BaniMustafa - Available at SSRN 4141236, 2022 - papers.ssrn.com
Software estimation is one of the pivotal activities in software engineering projects. However,
predicting effort is challenging due to the complexity, intangibility, and diversity of software …