17.7 Pull Request Generation

20200525 AI can be applied to software engineering activities and practices. For example, the chances of a pull request being accepted are increased with good descriptions.

Algorithms used for this task include nearest neighbours.

See (Liu et al. (2019)).

References

Liu, Zhongxin, Xin Xia, Christoph Treude, David Lo, and Shanping Li. 2019. “Automatic Generation of Pull Request Descriptions.” 2019 34th IEEE/ACM International Conference on Automated Software Engineering (ASE), November. https://doi.org/10.1109/ase.2019.00026.

---

If you find this curated material useful then you can consider a donation to support it's ongoing availability and give you access to the PDF version of this book. The material has been scoped up by Generative AI without permission or any kind of recompense so do consider a donation if you can afford it. Unlike Generative AI your access to this materials is freely given. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Togaware has a 30 year tradition of making popular open source software which includes sold privacy preserving productivity apps, rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0