Software Quality Prediction Of Object Oriented Software In Successive Releases Through Multiple Classifiers

0*, Dr. Anil Kumar Malviya**
* Research Scholar, Department of Computer Science & Engineering, Mewar Universiy, Chittorgarh Rajasthan, India .
** Associate Professor, Department of Computer Science & Engineering, Kamla Nehru Institute of Technology, KNIT, Sultanpur, U.P., India.
Periodicity:July - September'2013
DOI : https://doi.org/10.26634/jse.8.1.2424

Abstract

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.

Keywords

Software Quality, Object-Oriented System, Machine Learning Classifiers, Fault Prediction.

How to Cite this Article?

Gupta, D. L., and Malviya, A. K. (2013). Software Quality Prediction Of Object Oriented Software In Successive Releases Through Multiple Classifiers. i-manager’s Journal on Software Engineering, 8(1), 41-48. https://doi.org/10.26634/jse.8.1.2424

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