5.5 Recommendations by CUEZILLA The core motivation behind CUEZILLA is to help reporters file better quality bug reports. For this, its ability to detect the presence of information features can be exploited to tip reporters on what information to add. This can be achieved simply by recommending additions from the set of absent information, starting with the feature that contributes to the quality further by the largest margin. These recommendations are intended to serve as cues or reminders to reporters of the possibility to add certain types of information; likely to improve bug report quality. The left panel of Figure 1 illustrates the concept. The text in the panel is determined by investigating the current contents of the report, and then determining that would be best, for instance, adding a code sample to the report. As and when new in formation is added to the bug report, the quality meter revises its score. Our evaluation of CUEZILLA shows much potential for incorporating such a tool in bug tracking systems. CUEZILLA is able to measure quality of bug reports within reasonable accuracy. However, the presented version of CUEZILLA is an early prototype and we plan to further enhance the tool and conduct experiments to show its usefulness. We briefly discuss our plans in Section 9.