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Kai Gao
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An exploratory study of deep learning supply chain
X Tan, K Gao, M Zhou, L Zhang
Proceedings of the 44th International Conference on Software Engineering, 86-98, 2022
352022
Understanding and Remediating Open-Source License Incompatibilities in the PyPI Ecosystem
W Xu, H He, K Gao, M Zhou
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
172023
Demystifying Software Release Note Issues on GitHub
J Wu, H He, W Xiao, K Gao, M Zhou
2022 IEEE/ACM 30th International Conference on Program Comprehension (ICPC 2022), 2022
142022
On the variability of software engineering needs for deep learning: Stages, trends, and application types
K Gao, Z Wang, A Mockus, M Zhou
IEEE Transactions on Software Engineering 49 (2), 760-776, 2022
132022
Characterizing Deep Learning Package Supply Chains in PyPI: Domains, Clusters, and Disengagement
K Gao, R He, B Xie, M Zhou
ACM Transactions on Software Engineering and Methodology 33 (4), 1-27, 2024
82024
Characterize Software Release Notes of GitHub Projects: Structure, Writing Style, and Content
J Wu, W Xu, K Gao, J Li, M Zhou
2023 IEEE International Conference on Software Analysis, Evolution and …, 2023
72023
A comprehensive analysis of challenges and strategies for software release notes on GitHub
J Wu, H He, K Gao, W Xiao, J Li, M Zhou
Empirical Software Engineering 29 (5), 104, 2024
22024
PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages
K Gao, W Xu, W Yang, M Zhou
Proceedings of the ACM on Software Engineering 1 (FSE), 2608-2631, 2024
12024
LiCoEval: Evaluating LLMs on License Compliance in Code Generation
W Xu, K Gao, H He, M Zhou
arXiv preprint arXiv:2408.02487, 2024
2024
开源软件供应链研究综述
高恺， 何昊， 谢冰， 周明辉
软件学报 35 (2), 581-603, 2023
2023
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Artikler 1–10