Efficient GitHub Crawling Using the GraphQL API-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Efficient GitHub Crawling Using the GraphQL API

Published:2022 Issue: Volume: Page:662-677
ISSN:0302-9743
Container-title:Computational Science and Its Applications – ICCSA 2022 Workshops
language:
Short-container-title:

Author:

Jobst Adrian,Atzberger Daniel,Cech Tim,Scheibel Willy^ORCID,Trapp Matthias^ORCID,Döllner Jürgen

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-10548-7_48

Reference34 articles.

1. Bjertnes, L., Tørring, J.O., Elster, A.C.: LS-CAT: a large-scale CUDA AutoTuning dataset. In: 2021 International Conference on Applied Artificial Intelligence (ICAPAI), pp. 1–6. IEEE (2021). https://doi.org/10.1109/ICAPAI49758.2021.9462050

2. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3, 993–1022 (2003)

3. Borges, H., Hora, A., Valente, M.T.: Understanding the factors that impact the popularity of github repositories. In: 2016 IEEE International Conference on Software Maintenance and Evolution (ICSME), pp. 334–344 (2016). https://doi.org/10.1109/ICSME.2016.31

4. Brito, G., Mombach, T., Valente, M.T.: Migrating to GraphQL: a practical assessment. In: Proceedings of 26th International Conference on Software Analysis, Evolution and Reengineering, SANER 2019, pp. 140–150. IEEE (2019). https://doi.org/10.1109/SANER.2019.8667986

5. Brito, G., Valente, M.T.: REST vs GraphQL: a controlled experiment. In: Proceedings of International Conference on Software Architecture, ICSA 2020, pp. 81–91. IEEE (2020). https://doi.org/10.1109/ICSA47634.2020.00016

Cited by 3 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. HFCommunity: An extraction process and relational database to analyze Hugging Face Hub data;Science of Computer Programming;2024-05

2. HFCommunity: A Tool to Analyze the Hugging Face Hub Community;2023 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER);2023-03

3. Towards a human-in-the-loop curation: A qualitative perspective;2022 IEEE/ACS 19th International Conference on Computer Systems and Applications (AICCSA);2022-12

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3