Automatic Bug Triaging Analysis using Machine Learning Techniques: A Review

As technology is exponentially expanding day by day, the developers and testing team give their best to resolve issues as earliest as possible so that they can deliver the product to customer on time. Generally, in micro organizations, identifying the relevant developer to resolve a particular bug is easy and not much time consuming but for big organization it is still challenging to locate the right developer having the potential to resolve the bug on time which is one of the major task of bug triaging. In this review, we would be analyzing various techniques that will help in performing Automatic bug triaging and will try to find the best technique on the basis of some set of Research Questions, which will help in knowing the statistical analysis of these techniques.