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THE ROLE OF KEY ELEMENTS IN SOFTWARE DEVELOPMENT USING CLUSTER ANALYSIS

by Seetharam .K., Chandrakanth Pujari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 1 - Number 10
Year of Publication: 2010
Authors: Seetharam .K., Chandrakanth Pujari
10.5120/218-367

Seetharam .K., Chandrakanth Pujari . THE ROLE OF KEY ELEMENTS IN SOFTWARE DEVELOPMENT USING CLUSTER ANALYSIS. International Journal of Computer Applications. 1, 10 ( February 2010), 74-75. DOI=10.5120/218-367

@article{ 10.5120/218-367,
author = { Seetharam .K., Chandrakanth Pujari },
title = { THE ROLE OF KEY ELEMENTS IN SOFTWARE DEVELOPMENT USING CLUSTER ANALYSIS },
journal = { International Journal of Computer Applications },
issue_date = { February 2010 },
volume = { 1 },
number = { 10 },
month = { February },
year = { 2010 },
issn = { 0975-8887 },
pages = { 74-75 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume1/number10/218-367/ },
doi = { 10.5120/218-367 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:45:49.651128+05:30
%A Seetharam .K.
%A Chandrakanth Pujari
%T THE ROLE OF KEY ELEMENTS IN SOFTWARE DEVELOPMENT USING CLUSTER ANALYSIS
%J International Journal of Computer Applications
%@ 0975-8887
%V 1
%N 10
%P 74-75
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The reliability is one very important parameter of applications software.The most straight restriction in most software reliability models is the assumption of statistical independence among successive software factors considered. Any measurement requires the set of elements associated with the associated process. Here the seven factors considered are size, effort, duration, S1 (customer participation), S2 (staff availability), S3(standards use) and S4(methods use). Here the paper discusses Qualitative/quantitative measurement of software using cluster analysis. In this paper four different cases are carried out. First analysis with size as predominant factor, second analysis with effort as predominant factor, third analysis with duration as predominant factor, finally including all the three associated in the list of seven factors with software reliability performance.

References
  1. Conte, S.,Dunsmore, H.and Shen,V, Software Engineering Metrics and models, Benjamin Cummings, Menlo Park CA, 1986.
  2. Guanrong Chen and etal. Introduction to fuzzy sets, fuzzy logic and fuzzy control systems. CRC Press, 2000.
  3. Daniel T Larose Data Mining: methods and models. WIley interscience 2006.
  4. Fergal Mc Caffery, Philip S Taylor Gerry Coleman Adept: A Unified Assessment method for small software companies, Jan//Feb 2007 IEEE Software 24-31.
  5. E.M.Hall Managing risk: Methods for software system Development Addson-Wesley;1998.
  6. John D Musa Software Reliability Engineering McGraw Hill 1999.
  7. Joseph Hair, Rolph Anderson , Ronald Tatham , and William Black, Multivariate Data Analysis, 4th Ed, Prentice Hall , Upper Saddle River, NJ, 1995.
  8. Luigi Cerulo, Raffaelo Esposito, Maria Tortorella, Luigi Troiano RCOST –Research Centre on Software Technology Italy Supporting software Evolution by using Fuzzy logic 7th International IEEE workshop proceedings on Principles of software Evolution (IWPSE’04).
  9. Musa JD,A Theory of software reliability and its application, IEEE Trans Software Eng 1975 ;Se-1(3):312-27.
  10. Marcio Rodrigo Braz Software Effort estimation based on use cases, IEEE 30th International conference Proceedings COMPSAC’06 2006.
  11. Pace and Ronald Berry, sparse spatial auto regressions, Statistics and probability Letters, Vol 33, No 3, pp 291-297, May 5 1997Data set available from StatLib.
  12. Richard A Johnson and Dean Wichern , Applied multivariate statistical Analysis, Prentice Hall, Upper Saddle River, NJ, 1998.
  13. Seetharam.k, Chandrakanth G Pujari, Ranking of Tools use, software logical complexity, Requirement volatility, Quality requirements, Efficiency requirements in software development IEEE Explorer Journal 2008 pp1608-1616.
  14. Seetharam.K,Chandrakanth G Pujari, Factor analysis in the software development and refinement of reliability Communicated.
  15. U.S.Census,Bureau, Urban area criteria for census 2000, Federal Register,Vol 67,No 51,March 15 2002,
  16. Tsun Chowe, Dac-Buu Cao A survey study of critical success factors in agile software projects Journal of system and software 81 (2008) 961-971.
  17. Xuemei Zhang, Hoang Pham An analysis of factors affecting software reliability Journal of system and software 50 (2000) 43-56.
Index Terms

Computer Science
Information Sciences

Keywords

Software reliability cluster fuzzy logic

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