A Survey Paper on Efficient Approach of Data Reduction Techniques for Bug Triaging System

Bug Triaging is an important part of testing process in software development organizations. It is process of assigning a correct developer for fixing a bug. Software companies spend most of cost in dealing for software bugs. Traditionally in software development, new bugs are manually triaged by expert developer i. e. human traiger. The manual bug triage is expensive in time cost and low in accuracy due to the large number of daily bugs and the lack of expertise of all bugs. To avoid the expensive cost in manual bug triage, an automatic bug triage approach is used to predict developers for bug report. For bug triage data reduction techniques is used to build a small scale and high quality set of bug data by removing bug reports and words which are redundant or non-informative. So applying instance selection with feature selection simultaneously with historical bug data sets.