The document describes an automated process for bug triage that uses text classification and data reduction techniques. It proposes using Naive Bayes classifiers to predict the appropriate developers to assign bugs to by applying stopword removal, stemming, keyword selection, and instance selection on bug reports. This reduces the data size and improves quality. It predicts developers based on their history and profiles while tracking bug status. The goal is to more efficiently handle software bugs compared to traditional manual triage processes.