An Automated approach for Bug Categorization using Fuzzy Logic
Indu Chawla, Sandeep Kumar Singh · 2015
Various automated techniques built to benefit software developers, bug triagers, stakeholders and users in open source systems, utilize information placed in issue tracking systems. The success of these techniques depends largely on the quality of information present in the issue reports. Assigning correct label to issue reports is one of the quality concerns. Previous empirical studies conducted on the issue reports show that most issues are either mislabeled or are not labeled at all. Thus, in order to enhance quality of issue reports, there is a strong need to propose an automated and accurate bug labeling approach. A label can be a bug, feature enhancement or other request.