JSE_V8_N1_RP4
Software Quality Prediction Of Object Oriented Software In Successive Releases Through Multiple Classifiers
Dharmendra Lal Gupta
Anil Kumar Malviya
Journal on Software Engineering
2230 – 7168
8
1
41
48
Software Quality, Object-Oriented System, Machine Learning Classifiers, Fault Prediction
In this paper the comparative analysis of a java based text editor jEdit and all its successive releases has been done. Different machine learning classifiers have been used to get findings in terms of Accuracy, Precision, Recall, F-measure and AUC values. Based on all performance measures it is concluded that the bugs are decreasing release by release and quality is increasing as well. The authors have used WEKA a machine learning tool for finding and analysing of the results.
July - September 2013
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