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Aide-memoire: Improving a Project's Collective Memory via Pull Request-Issue Links
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AI
DOI：10.1145/3542937.png)
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Abstract
En 中文
Links between pull request and the issues they address document and accelerate the development of a software project but are often omitted. We present a new tool, Aide-memoire, to suggest such links when a developer submits a pull request or closes an issue, smoothly integrating into existing workflows. In contrast to previous state-of-the-art approaches that repair related commit histories, Aide-memoire is designed for continuous, real-time, and long-term use, employing Mondrian forest to adapt over a project's lifetime and continuously improve traceability. Aide-memoire is tailored for two specific instances of the general traceability problem-namely, commit to issue and pull request to issue links, with a focus on the latter-and exploits data inherent to these two problems to outperform tools for general purpose link recovery. Our approach is online, language-agnostic, and scalable. We evaluate over a corpus of 213 projects and six programming languages, achieving a mean average precision of 0.95. Adopting Aide-memoire is both efficient and effective: A programmer need only evaluate a single suggested link 94% of the time, and 16% of all discovered links were originally missed by developers.
Keywords:
Traceability
link inference
missing link
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