作者: Shruti Gujral , Gitika Sharma , Sumit Sharma , Diksha
DOI: 10.1109/ABLAZE.2015.7154933
关键词: Bug tracking system 、 Severity level 、 Artificial intelligence 、 Naive Bayes classifier 、 Computer science 、 Software 、 Classifier (UML) 、 Machine learning 、 Software regression
摘要: Bug tracking system allows user to report bugs that they encounter while operating the software. These are then received by developers and resolve these according their severity level. This task of assigning level is manual need expertise assessing reported bug. But if large in number process assess becomes very hectic. So there should be an automatic classify it so immediate fixation get resolved early. A few attempts have been made researchers automate task. The approach followed this paper has attempt bug classification using text mining technique Naive Bayes Multinomial classifier. further proposes making more efficient dictionary terms.