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Software Quality Analysis with Clustering Method

P. V. Ingle, M. M. Deshpande Published in Software Engineering

IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/icwac1329
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  1. P V Ingle and M M Deshpande. Article: Software Quality Analysis with Clustering Method. IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013 ICWAC(3):7-10, June 2013. BibTeX

    @article{key:article,
    	author = "P. V. Ingle and M. M. Deshpande",
    	title = "Article: Software Quality Analysis with Clustering Method",
    	journal = "IJAIS Proceedings on International Conference and workshop on Advanced Computing 2013",
    	year = 2013,
    	volume = "ICWAC",
    	number = 3,
    	pages = "7-10",
    	month = "June",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

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.

Reference

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Keywords

Software Defect, Quality, Clustered, Kmeans, Cmeans