A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf
.
A Proposed Model Of Agile Methodology In Software Development
2016
Zenodo
Agile Software development has been increasing popularity and replacing the traditional methods of software develop-ment. This paper presents the all neural network techniques including General Regression Neural Networks (GRNN), Prob-abilistic Neural Network (PNN), GMDH Polynomial Neural Network, Cascade correlation neural network and a Machine Learning Technique Random Forest. To achieve better prediction, effort estimation of agile projects we will use Random Forest with Story Points Approach
doi:10.5281/zenodo.57031
fatcat:zncd6bcwifdf3g5h4nrhweob7u