Effective software effort estimation using heterogenous stacked ensemble

S Goyal - 2022 IEEE International Conference on Signal …, 2022 - ieeexplore.ieee.org
Software Effort Estimation (SEE) estimates the effort required to complete the project
successfully. The accuracy of estimation is directly proportional to the project success. This …

Comparative Analysis of Machine Learning Techniques for Software Effort Estimation

S Goyal - Intelligent Computing Techniques for Smart Energy …, 2022 - Springer
Abstract Software Effort Estimation (SEE) is paramount task in software development life
cycle. It estimates the future effort which would be needed for the successful completion of …

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 …

Self-Adaptive Ensemble-based Approach for Software Effort Estimation

S Shukla, S Kumar - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
Software Effort Estimation (SEE) is one of the most challenging tasks in software project
management. In the literature, the researchers addressed the SEE problem in different ways …

[PDF][PDF] A Stacking Ensemble-based Approach for Software Effort Estimation.

S Shukla, S Kumar - ENASE, 2021 - scitepress.org
Software Effort Estimation (SEE) is the undertaking of precisely assessing the measure of
effort needed to create software. A lot of exploration has already done in the field of SEE …

A pragmatic ensemble learning approach for effective software effort estimation

P Suresh Kumar, HS Behera, J Nayak… - Innovations in Systems and …, 2022 - Springer
The immense increase in software technology has resulted in the convolution of software
projects. Software effort estimation is fundamental to commence any software project and …

[PDF][PDF] Bayesian hyperparameter optimization and Ensemble Learning for Machine Learning Models on software effort estimation

R Marco, SSS Ahmad, S Ahmad - International Journal of …, 2022 - researchgate.net
In recent decades, various software effort estimation (SEE) algorithms have been suggested.
Unfortunately, generating high-precision accuracy is still a major challenge in the context of …

RETRACTED ARTICLE: Hyperparameters tuning of ensemble model for software effort estimation

SK Palaniswamy, R Venkatesan - Journal of Ambient Intelligence and …, 2021 - Springer
This article presents an effective method to improve estimation accuracy of software projects
to a significant level by tuning the hyperparameters of the stacking ensemble model using …

FEEM: A Flexible Model based on Artificial Intelligence for Software Effort Estimation

A Moradbeiky - Journal of AI and Data Mining, 2023 - jad.shahroodut.ac.ir
Managing software projects due to its intangible nature is full of challenges when predicting
the effort needed for development. Accordingly, there exist many studies with the attempt to …

Ensemble effort estimation using selection and genetic algorithms

P Jodpimai, P Sophatsathit… - International Journal of …, 2018 - inderscienceonline.com
Software effort estimation plays a vital role in software project management. Several single
estimation methods have been introduced vying to be the best estimation method. However …