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2020 – today
- 2024
[j2]Kai Gao
, Runzhi He, Bing Xie, Minghui Zhou:
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. ACM Trans. Softw. Eng. Methodol. 33(4): 97:1-97:27 (2024)- [i4]Runzhi He, Hengzhi Ye, Minghui Zhou:
Revealing the value of Repository Centrality in lifespan prediction of Open Source Software Projects. CoRR abs/2405.07508 (2024) - [i3]Cailean Osborne, Farbod Daneshyan, Runzhi He, Hengzhi Ye, Yuxia Zhang, Minghui Zhou:
Characterising Open Source Co-opetition in Company-hosted Open Source Software Projects: The Cases of PyTorch, TensorFlow, and Transformers. CoRR abs/2410.18241 (2024) - 2023
- [j1]Runzhi He, Hao He, Yuxia Zhang, Minghui Zhou:
Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot. IEEE Trans. Software Eng. 49(8): 4004-4022 (2023) - [c3]Weiwei Xu, Xin Wu, Runzhi He, Minghui Zhou:
LicenseRec: Knowledge based Open Source License Recommendation for OSS Projects. ICSE Companion 2023: 180-183 - [i2]Kai Gao, Runzhi He, Bing Xie, Minghui Zhou:
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement. CoRR abs/2306.16307 (2023) - 2022
- [c2]Hao He, Haonan Su, Wenxin Xiao, Runzhi He, Minghui Zhou:
GFI-bot: automated good first issue recommendation on GitHub. ESEC/SIGSOFT FSE 2022: 1751-1755 - [i1]Runzhi He, Hao He, Yuxia Zhang, Minghui Zhou:
Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot. CoRR abs/2206.07230 (2022) - 2021
- [c1]Hao He, Runzhi He, Haiqiao Gu, Minghui Zhou:
A large-scale empirical study on Java library migrations: prevalence, trends, and rationales. ESEC/SIGSOFT FSE 2021: 478-490
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