@article{(Open Science Index):https://publications.waset.org/pdf/13348,
	  title     = {A K-Means Based Clustering Approach for Finding Faulty Modules in Open Source Software Systems},
	  author    = {Parvinder S. Sandhu and  Jagdeep Singh and  Vikas Gupta and  Mandeep Kaur and  Sonia Manhas and  Ramandeep Sidhu},
	  country	= {},
	  institution	= {},
	  abstract     = {Prediction of fault-prone modules provides one way to
support software quality engineering. Clustering is used to determine
the intrinsic grouping in a set of unlabeled data. Among various
clustering techniques available in literature K-Means clustering
approach is most widely being used. This paper introduces K-Means
based Clustering approach for software finding the fault proneness of
the Object-Oriented systems. The contribution of this paper is that it
has used Metric values of JEdit open source software for generation
of the rules for the categorization of software modules in the
categories of Faulty and non faulty modules and thereafter
empirically validation is performed. The results are measured in
terms of accuracy of prediction, probability of Detection and
Probability of False Alarms.},
	    journal   = {International Journal of Computer and Systems Engineering},
	  volume    = {4},
	  number    = {12},
	  year      = {2010},
	  pages     = {1897 - 1901},
	  ee        = {https://publications.waset.org/pdf/13348},
	  url   	= {https://publications.waset.org/vol/48},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 48, 2010},
	}