Not All Bugs Are the Same: Understanding, Characterizing, and Classifying the Root Cause of Bugs
This addresses the time-consuming task of bug understanding for developers, but it is incremental as it builds on existing bug tracking research.
The paper tackles the problem of understanding bug types in software development by analyzing 1,280 bug reports to build a taxonomy of root causes and developing an automated classification model that achieves 64% F-Measure and 74% AUC-ROC.
Modern version control systems such as Git or SVN include bug tracking mechanisms, through which developers can highlight the presence of bugs through bug reports, i.e., textual descriptions reporting the problem and what are the steps that led to a failure. In past and recent years, the research community deeply investigated methods for easing bug triage, that is, the process of assigning the fixing of a reported bug to the most qualified developer. Nevertheless, only a few studies have reported on how to support developers in the process of understanding the type of a reported bug, which is the first and most time-consuming step to perform before assigning a bug-fix operation. In this paper, we target this problem in two ways: first, we analyze 1,280 bug reports of 119 popular projects belonging to three ecosystems such as Mozilla, Apache, and Eclipse, with the aim of building a taxonomy of the root causes of reported bugs; then, we devise and evaluate an automated classification model able to classify reported bugs according to the defined taxonomy. As a result, we found nine main common root causes of bugs over the considered systems. Moreover, our model achieves high F-Measure and AUC-ROC (64% and 74% on overall, respectively).