Heterogeneous ensemble model to optimize software effort estimation accuracy

SS Ali, J Ren, K Zhang, J Wu, C Liu - IEEE Access, 2023 - ieeexplore.ieee.org
The software industry has experienced rapid expansion in recent years, with software
development now essential to the success of many multinational corporations. The demand …

Research Trends in Software Development Effort Estimation

Y Swandari, R Ferdiana… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Developing a software project without the appropriate amount of effort would significantly
impede and even fail the project, putting the software developer's quality at risk. Therefore …

[PDF][PDF] COCOMO II-FG-HGWO: A Modified Hunting Gray Wolf Optimization for Improving Constructive Cost Model II Performance.

RR Putri, D Siahaan, C Fatichah - International Journal of Intelligent …, 2024 - inass.org
Software effort estimation presents a significant challenge in the domain of project
management. The Constructive Cost Model II (COCOMO II) is frequently applied to estimate …

Software Cost Estimation using Stacked Ensemble Classifier and Feature Selection

M Hammad - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
Predicting the cost of the development effort is essential for successful projects. This helps
software project managers to allocate resources, and determine budget or delivery date …

Enhancing the performance of software effort estimation through boosting ensemble learning

IG Chelaru - 2023 25th International Symposium on Symbolic …, 2023 - ieeexplore.ieee.org
Software effort estimation is a major component of the software development cycle, playing a
crucial role in the outcome of a project. Comprehending the volume and effort of a software …

Software Development Effort Estimation using SNS Algorithm

D Jain, P Manchala, S Mustyala… - 2024 15th International …, 2024 - ieeexplore.ieee.org
Software development effort estimation (SDEE) is important in determining how much work
will be required to finish a software development activity. However, the deployment of SDEE …

Recent Advances in Software Effort Estimation using Machine Learning

V Uc-Cetina - arXiv preprint arXiv:2303.03482, 2023 - arxiv.org
An increasing number of software companies have already realized the importance of
storing project-related data as valuable sources of information for training prediction models …