Introduction: The precise estimation of software effort is a significant difficulty that project managers encounter during software development. Inaccurate forecasting leads to either …
This study compares the performance of Pytorch-based Deep Learning, Multiple Perceptron Neural Networks with Multiple Linear Regression in terms of software effort estimations …
J Li, S Sun, L Xie, C Zhu, D He - Scientific Reports, 2024 - nature.com
In this paper, a novel Moth-Flame Optimization (MFO) algorithm, namely MFO algorithm enhanced by Multiple Improvement Strategies (MISMFO) is proposed for solving parameter …
A Jadhav, SK Shandilya - Journal of Engineering Research, 2023 - Elsevier
Effort estimation in the software industry is recognized as one of the most critical activities for the success of the overall solution delivery in the software development process. Software …
E Cibir, TE Ayyildiz - IEEE Access, 2022 - ieeexplore.ieee.org
Effort estimation of software testing plays a vital role in the effective completion of testing. In particular, software test effort estimation in defense projects is not an easy and simple …
Accurate effort estimation is necessary for efficient management of software development projects, as it relates to human resource management. Ensemble methods, which employ …
KH Kumar, K Srinivas - Expert Systems with Applications, 2024 - Elsevier
To complete a software project, the most realistic effort required is predicted by the process called Software Effort Estimation (SEE). Effort Estimation (EE) in software development is …
S Shukla, S Kumar - Applied Intelligence, 2023 - Springer
Abstract Achieving accuracy in Software Effort Estimation (SEE) is probably the greatest difficulty in software project management. Since the Unified Modeling Language (UML) …
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 …