Severity Assessment of Software Defect Reports using Text Classification

Abstract

Defect severity assessment is essential in order to allocate testing resources and effectively plan testing activities. In this paper, we use text classification techniques to predict and assess the severity of defects. The results are based on defect description of issue requirements obtained from NASA project. We have used Support Vector Machine technique to predict defect severity from issue reports.