Searching for high-fidelity builds using active learning-Reference-Cited by-同舟云学术

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Searching for high-fidelity builds using active learning

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 19th International Conference on Mining Software Repositories
language:
Short-container-title:

Author:

Menon Harshitha¹,Parasyris Konstantinos¹,Scogland Tom¹,Gamblin Todd¹

Affiliation:

1. Lawrence Livermore National Laboratory

Funder

Laboratory Directed Research and Development Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3524842.3528464

Reference56 articles.

1. Cargo : The Rust package manager . Online , March 2014 . https://github.com/rustlang/cargo. Cargo: The Rust package manager. Online, March 2014. https://github.com/rustlang/cargo.

2. PubGrub version solving algorithm implemented in Rust . Online , 2020 . https://github.com/pubgrub-rs/pubgrub. PubGrub version solving algorithm implemented in Rust. Online, 2020. https://github.com/pubgrub-rs/pubgrub.

3. Dependency Solving Is Still Hard, but We Are Getting Better at It

4. Dependency solving: A separate concern in component evolution management

5. Active Learning-based Automatic Tuning and Prediction of Parallel I/O Performance

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Learning to Predict and Improve Build Successes in Package Ecosystems;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15

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