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PCA Analysis of Few Parameters Role in Software Development

by Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 14 - Number 6
Year of Publication: 2011
Authors: Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare
10.5120/1889-2506

Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare . PCA Analysis of Few Parameters Role in Software Development. International Journal of Computer Applications. 14, 6 ( February 2011), 15-20. DOI=10.5120/1889-2506

@article{ 10.5120/1889-2506,
author = { Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare },
title = { PCA Analysis of Few Parameters Role in Software Development },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 14 },
number = { 6 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 15-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume14/number6/1889-2506/ },
doi = { 10.5120/1889-2506 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:02:40.522016+05:30
%A Dr Seetharam K
%A Dr.Venkata Subba Reddy
%A Laxmi B.Rananavare
%T PCA Analysis of Few Parameters Role in Software Development
%J International Journal of Computer Applications
%@ 0975-8887
%V 14
%N 6
%P 15-20
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Principal component analysis is one of the dimension reduction methods with the goal of using the correlation structure among the predictor variables. Qualitative/quantitative measurement of software quality related aspects in all stages of software development are desirable [9,10,11,12].Any measurement using any element in the software metrics is helpful for analysis in the set of software quality metrics. In this paper seventeen software metric variables [4], are considered. Four cases are carried out using principle component analysis. First analysis is with size as predominant factor. Second analysis is with effort as predominant factor. Third analysis is with duration as predominant factor. Finally all the three association taken together used for analysis of quality performance. The analysis of variables is to identify the dimension that are latent [7,8].

References
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Index Terms

Computer Science
Information Sciences

Keywords

Size Efforts Duration Eigen values Fuzzy logic Variance

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