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A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation

by Rina M. Waghmode, L. V. Patil, S. D. Joshi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 16
Year of Publication: 2013
Authors: Rina M. Waghmode, L. V. Patil, S. D. Joshi
10.5120/12970-0099

Rina M. Waghmode, L. V. Patil, S. D. Joshi . A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation. International Journal of Computer Applications. 74, 16 ( July 2013), 25-30. DOI=10.5120/12970-0099

@article{ 10.5120/12970-0099,
author = { Rina M. Waghmode, L. V. Patil, S. D. Joshi },
title = { A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 74 },
number = { 16 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 25-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number16/12970-0099/ },
doi = { 10.5120/12970-0099 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:42:29.056702+05:30
%A Rina M. Waghmode
%A L. V. Patil
%A S. D. Joshi
%T A Collective Study of PCA and Neural Network based on COCOMO for Software Cost Estimation
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 16
%P 25-30
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Estimating cost is a very wearisome activity in all aspect. A person with broad scope and good thinking for the future makes more precise decisions. It helps in governing and planning the software risks which are admirably correct and precise. In 1960 regression analysis and mathematical formulae were practiced to determine cost. We need to think more than simply putting numbers into a formula and accept the results to attaining the accuracy of software cost estimation. The changing methods of estimating software cost have made the researchers to think diversely. Barry Bohem birthed COCOMO model for software cost estimation in 1981 which is considered to be more efficient as compared to previous models. Thereafter number of researchers has been trying to improve the efficiency by keeping the base of COCOMO model. The paper drafts a novel variable reduction technique called feed-forward neural network with PCA to measure the estimation model accuracy. This is based on a COCOMO sample data set which collects and maintains a large software project data repository. PCA is a kind of classification method which can reduces number of factors into a few absolute factors.

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Index Terms

Computer Science
Information Sciences

Keywords

Software cost estimation PCA ANN COCOMO

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