摘要: Software developers spend a significant portion of their resources handling user-submitted bug reports. For software that is widely deployed, the number reports typically outstrips available to triage them. As result, some may be dealt with too slowly or not at all. We present descriptive model report quality based on statistical analysis surface features over 27,000 publicly for Mozilla Firefox project. The predicts whether triaged within given amount time. Our this has implications reporting systems and suggests should emphasized when composing evaluate our empirically its hypothetical performance as an automatic filter incoming results show performs significantly better than chance in terms precision recall. In addition, we modelcan reduce overall cost maintenance setting where average addressing more 2% ignoring important report.
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