Research Article

PCA Analysis of Few Parameters Role in Software Development

by  Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 14 - Issue 6
Published: February 2011
Authors: Dr Seetharam K, Dr.Venkata Subba Reddy, Laxmi B.Rananavare
10.5120/1889-2506
PDF

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 },
                        year    = { 2011 },
                        volume  = { 14 },
                        number  = { 6 },
                        pages   = { 15-20 },
                        doi     = { 10.5120/1889-2506 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2011
                        %A Dr Seetharam K
                        %A Dr.Venkata Subba Reddy
                        %A Laxmi B.Rananavare
                        %T PCA Analysis of Few Parameters Role in Software Development%T 
                        %J International Journal of Computer Applications
                        %V 14
                        %N 6
                        %P 15-20
                        %R 10.5120/1889-2506
                        %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].

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Size Efforts Duration Eigen values Fuzzy logic Variance

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