  With the rise of the pull request mechanism in software development, the
quality of pull requests has gained more attention. Prior works focus on
improving the quality of pull request descriptions and several approaches have
been proposed to automatically generate pull request descriptions. As an
essential component of a pull request, pull request titles have not received a
similar level of attention. To further facilitate automation in software
development and to help developers in drafting high-quality pull request
titles, we introduce AutoPRTitle. AutoPRTitle is specifically designed to
automatically generate pull request titles. AutoPRTitle can generate a precise
and succinct pull request title based on the pull request description, commit
messages, and the associated issue titles. AutoPRTitle is built upon a
state-of-the-art text summarization model, BART, which has been pre-trained on
large-scale English corpora. We further fine-tuned BART in a pull request
dataset containing high-quality pull request titles. We implemented AutoPRTitle
as a stand-alone web application. We conducted two sets of evaluations: one
concerning the model accuracy and the other concerning the tool usability. For
model accuracy, BART outperforms the best baseline by 24.6%, 40.5%, and 23.3%,
respectively. For tool usability, the evaluators consider our tool as
easy-to-use and useful when creating a pull request title of good quality.
  Source code: https://github.com/soarsmu/Auto-PR-Title
  Video demo: https://tinyurl.com/AutoPRTitle
