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AUTOMATIC SUMMARIZATION OF BUG REPORTS
ABSTRACT:
Software developers access bug reports in a project’s bug repository to help with a number of
different tasks, including understanding how previous changes have been made and
understanding multiple aspects of particular defects. A developer’s interaction with existing bug
reports often requires perusing a substantial amount of text. In this article, we investigate
whether it is possible to summarize bug reports automatically so that developers can perform
their tasks by consulting shorter summaries instead of entire bug reports. We investigated
whether existing conversation-based automated summarizers are applicable to bug reports and
found that the quality of generated summaries is similar to summaries produced for e-mail
threads and other conversations. We also trained a summarizer on a bug report corpus. This
summarizer produces summaries that are statistically better than summaries produced by existing
conversation-based generators. To determine if automatically produced bug report summaries
can help a developer with their work, we conducted a task-based evaluation that considered the
use of summaries for bug report duplicate detection tasks. We found that summaries helped the
study participants save time, that there was no evidence that accuracy degraded when summaries
were used and that most participants preferred working with summaries to working with original
bug reports.