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Tuning of COCOMO II Model Parameters for Estimating Software Development Effort using GA for PROMISE Project Data Set

by Chandra Shekhar Yadav, Raghuraj Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 90 - Number 1
Year of Publication: 2014
Authors: Chandra Shekhar Yadav, Raghuraj Singh
10.5120/15542-4367

Chandra Shekhar Yadav, Raghuraj Singh . Tuning of COCOMO II Model Parameters for Estimating Software Development Effort using GA for PROMISE Project Data Set. International Journal of Computer Applications. 90, 1 ( March 2014), 37-43. DOI=10.5120/15542-4367

@article{ 10.5120/15542-4367,
author = { Chandra Shekhar Yadav, Raghuraj Singh },
title = { Tuning of COCOMO II Model Parameters for Estimating Software Development Effort using GA for PROMISE Project Data Set },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 90 },
number = { 1 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 37-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume90/number1/15542-4367/ },
doi = { 10.5120/15542-4367 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:09:59.894704+05:30
%A Chandra Shekhar Yadav
%A Raghuraj Singh
%T Tuning of COCOMO II Model Parameters for Estimating Software Development Effort using GA for PROMISE Project Data Set
%J International Journal of Computer Applications
%@ 0975-8887
%V 90
%N 1
%P 37-43
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we have tuned the parameters of COCOMO II model to estimate the software development effort using genetic algorithm (GA). Results obtained by applying GA are have been compared with results obtained by applying particle swarm optimization (PSO) published in previous paper. COCOMO II model is modified by introducing some more parameters to predict the software development effort more precisely. The performance of this parametric model is tested on the past PROMISE and NASA projects data set.

References
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Index Terms

Computer Science
Information Sciences

Keywords

COCOMO81 model Root Mean Square Error PROMISE Software Repository data set Software Development Estimation.

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