Abstract
The common software problems appear in a wide variety of applications and environments. Some software related problems arises in software project development i.e. software related problems are known as software defect in which Software bug is a major problem arises in the coding implementation .There are no satisfied result found by project development team. The software bug problems mentation in problem report and software engineer does not easily detect this software defect but by the help of data mining classification software engineers easily can classify software bug. This paper classified and detect software bug by J48, ID3 and Naive Bayes data mining algorithms. Comparison of these algorithms to detect accuracy and time taken to build model is also presented in this paper. General Terms Data Mining, Classification algorithms, Software Bug, Weka Tool.
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