Commit messages are crucial to software development, allowing developers to
track changes and collaborate effectively. Despite their utility, most commit
messages lack important information since writing high-quality commit messages
is tedious and time-consuming. The active research on commit message generation
(CMG) has not yet led to wide adoption in practice. We argue that if we could
shift the focus from commit message generation to commit message completion and
use previous commit history as additional context, we could significantly
improve the quality and the personal nature of the resulting commit messages.
In this paper, we propose and evaluate both of these novel ideas. Since the
existing datasets lack historical data, we collect and share a novel dataset
called CommitChronicle, containing 10.7M commits across 20 programming
languages. We use this dataset to evaluate the completion setting and the
usefulness of the historical context for state-of-the-art CMG models and
GPT-3.5-turbo. Our results show that in some contexts, commit message
completion shows better results than generation, and that while in general
GPT-3.5-turbo performs worse, it shows potential for long and detailed
messages. As for the history, the results show that historical information
improves the performance of CMG models in the generation task, and the
performance of GPT-3.5-turbo in both generation and completion.

该论文提出了两个新颖的想法：从生成提交消息转向完成提交消息，并使用之前的提交历史作为额外的上下文，以提高生成提交消息的质量和个性化程度。他们使用自己收集的名为 CommitChronicle 的新数据集来评估这些新想法，并发现在某些情况下，提交消息的完成表现出比生成更好的结果，并且历史信息能够改善 CMG 模型和 GPT-3.5-turbo 在生成和完成任务中的性能。