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An Effort Estimation Model for Software Development using Ensemble Learning

by Abhishek Kumar, Unmukh Datta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 21
Year of Publication: 2015
Authors: Abhishek Kumar, Unmukh Datta
10.5120/20279-2713

Abhishek Kumar, Unmukh Datta . An Effort Estimation Model for Software Development using Ensemble Learning. International Journal of Computer Applications. 115, 21 ( April 2015), 37-41. DOI=10.5120/20279-2713

@article{ 10.5120/20279-2713,
author = { Abhishek Kumar, Unmukh Datta },
title = { An Effort Estimation Model for Software Development using Ensemble Learning },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 21 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number21/20279-2713/ },
doi = { 10.5120/20279-2713 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:55:31.748106+05:30
%A Abhishek Kumar
%A Unmukh Datta
%T An Effort Estimation Model for Software Development using Ensemble Learning
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 21
%P 37-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

For a successful project development, it is important for any software organization that the project should be completed within time and budget, and the project should have requisite quality. This paper presents an Ensemble learning based Adaptive Neuro-Fuzzy Approach for Software Development Time Estimation. The concept behind this technique is based on ensemble learning methods. This technique combines multiple models into one model. The ensemble fits a new learner to the difference between the experiential response and the aggregated prediction of all learners which grown previously. In this paper, we describe a brief literature review of different techniques of software development time estimation along with a comparison of different techniques with our approach.

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Index Terms

Computer Science
Information Sciences

Keywords

Membership Function (MF) COCOMO Adaptive Neuro Fuzzy Inference System (ANFIS) Neural Network Fuzzy Logic Prediction MRE MMRE BRE Development Time (DT)

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