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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency

Zhang, Yichi, Liu, Zixi, Feng, Yang, Xu, Baowen·2024·Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering
DOI 10.1145/3691620.3695010
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  1. [n.d.]. Stack Overflow Developer Survey 2023. https://survey.stackoverflow.co/2023/#section-admired-and-desired-programming-scripting-and-markup-languages. (Accessed on 06/08/2024).
  2. William Bugden and Ayman Alahmar. 2022. Rust: The programming language for safety and performance. arXiv preprint arXiv:2206.05503 (2022). · arXiv
  3. Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, and Weizhu Chen. 2022. Codet: Code generation with generated tests. arXiv preprint arXiv:2207.10397 (2022). · arXiv
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  9. Steve Klabnik and Carol Nichols. 2023. The Rust programming language. No Starch Press.
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  11. Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, et al. 2021. Codexglue: A machine learning benchmark dataset for code understanding and generation. arXiv preprint arXiv:2102.04664 (2021). · arXiv
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Metadata

Authors
Zhang, Y., Liu, Z., Feng, Y., & Xu, B.
Venue
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering
Publisher
ACM
Published
2024-10-27
Pages
356-366
DOI
10.1145/3691620.3695010
Cited by
10
References
3
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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CoChat. (2026). Citation check: Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency. https://app.cochat.ai/papers/10.1145/3691620.3695010
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Zhang, Y., Liu, Z., Feng, Y., & Xu, B. (2024). Leveraging Large Language Model to Assist Detecting Rust Code Comment Inconsistency. Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering. https://doi.org/10.1145/3691620.3695010