Publication

Abstract : A bug report is an effective way of communicating the bugs among bug reporters and bug recipients. At the same time ,bad bug reports are long, inefficient form of communication for all concerned and do not contain relevant information to resolve the problems .The misclassification in bug report is therefore a serious issue that scarifies the accuracy of bug reports. Here we propose an approach to merging text mining and NLP to identify bugs and non bugs in a bug report. In this system, KNN and Info Gain are used to classify and Genetic algorithm are used to optimize and improve automatic bug prediction performance.