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Reseach Article

Software Quality Analysis with Clustering Method

Published on June 2013 by P. V. Ingle, M. M. Deshpande
International Conference and workshop on Advanced Computing 2013
Foundation of Computer Science USA
ICWAC - Number 3
June 2013
Authors: P. V. Ingle, M. M. Deshpande
b1ec3858-9b49-451f-92dd-8bd3444ccb3c

P. V. Ingle, M. M. Deshpande . Software Quality Analysis with Clustering Method. International Conference and workshop on Advanced Computing 2013. ICWAC, 3 (June 2013), 0-0.

@article{
author = { P. V. Ingle, M. M. Deshpande },
title = { Software Quality Analysis with Clustering Method },
journal = { International Conference and workshop on Advanced Computing 2013 },
issue_date = { June 2013 },
volume = { ICWAC },
number = { 3 },
month = { June },
year = { 2013 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icwac/number3/491-1329/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference and workshop on Advanced Computing 2013
%A P. V. Ingle
%A M. M. Deshpande
%T Software Quality Analysis with Clustering Method
%J International Conference and workshop on Advanced Computing 2013
%@ 2249-0868
%V ICWAC
%N 3
%P 0-0
%D 2013
%I International Journal of Applied Information Systems
Abstract

Software development team tries to increase the software quality by decreasing the number of defects as much as possible. A major concern for managers of software project are the triple constraint of cost, schedule and quality due to the difficulties to quantify accurately the trade-off between them . number of defects remaining in a system provides an insight into the quality of the system. Software defects are one of the major factors that can decide the time of software delivery. The proposed system will analyze the software defects. We are trying to categorize the software defects using some clustering approach and then the software defects will be measured in each clustered separately.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Software Defect Quality Clustered Kmeans Cmeans