Extreme learning machine applied to software development effort estimation

HDP De Carvalho, R Fagundes, W Santos - IEEE Access, 2021 - ieeexplore.ieee.org
The project management process has been used in the area of Software Engineering to
support project managers to keep projects under control. One of the essential processes in …

A Review of Effort Estimation in Agile Software Development using Machine Learning Techniques

S Kumar, M Arora, S Chopra - 2022 4th International …, 2022 - ieeexplore.ieee.org
Nowadays organizations are heading towards the agile software development instead of
traditional development models due to the flexibility and acceptance of change in the agile …

Software Effort Estimation for Improved Decision Making

SMN Sakib - 2022 - cambridge.org
Now a days, software development organizations use machine learning techniques in
different areas to improve decision-making process so that their performance is boosted. In …

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 …

[PDF][PDF] Designing a Tool to Estimate Software Projects Based on The Swarm Intelligence.

SI Khaleel - International Journal of Intelligent Engineering & …, 2021 - inass.org
Estimating models in software engineering are used to estimate some important and future
characteristics of the software project, such as estimating the developed project effort, and …

Computational intelligence for estimating software development effort: a systematic mapping study

TR Benala, A Kaushik, S Dehuri, LC Jain - Iran Journal of Computer …, 2024 - Springer
Software development effort estimation (SDEE) is critical for predicting the required resource
investment. Since the late 2000s, numerous studies have advocated using computational …

Software Effort Estimation Using Stacked Ensemble Technique and Hybrid Principal Component Regression and Multivariate Adaptive Regression Splines

AG Priya Varshini, K Anitha Kumari - Wireless Personal Communications, 2024 - Springer
In today's rapidly evolving digital market, the demand for faster and more advanced software
products requires accurate, cost-effective, and timely solutions. Precise software effort …

Machine learning based software effort estimation using development-centric features for crowdsourcing platform

A Yasmin, W Haider, A Daud… - Intelligent Data …, 2024 - content.iospress.com
Crowd-Sourced software development (CSSD) is getting a good deal of attention from the
software and research community in recent times. One of the key challenges faced by CSSD …

Software effort estimation using stacked ensembled techniques and proposed stacking ensemble using principal component regression as super learner

AG Priya Varshini… - Journal of Intelligent & …, 2023 - content.iospress.com
As the size and complexity of projects grows, estimates are increasingly used, especially in
the agile community. Software development cannot begin without first conducting thorough …

[PDF][PDF] Extreme Learning Machine Applied to Software Development Effort Estimation

W SANTOS - academia.edu
The project management process has been used in the area of Software Engineering to
support project managers to keep projects under control. One of the essential processes in …