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  • In Jour Smart Sensing And Intelligent Systems

 

Research Article

LEARNING TO RANK AND CLASSIFICATION OF BUG REPORTS USING SVM AND FEATURE EVALUATION

descriptions of library components, the bug-fixing history, the code change history, and the file dependency graph. Given a bug report, the ranking score of each source file is computed as a weighted combination of an array of features, where the weights are trained automatically on previously solved bug reports using a learning-to-rank technique. I applied SVM (Support Virtual Machine) to classify the bug reports to identify, which category the bug belongs to. It helps to fix the critical defects early

S. Rajeswari, S. Sharavanan, R. Vijai, RM. Balajee

International Journal on Smart Sensing and Intelligent Systems , ISSUE 5, 311–329

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