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 | 25 | 2022 |
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 | 7 | 2022 |
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 | 7 | 2022 |
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 | 4 | 2023 |
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 | 3 | 2023 |
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, 2023 | 1 | 2023 |
PyRadar: Towards Automatically Retrieving and Validating Source Code Repository Information for PyPI Packages K Gao, W Xu, W Yang, M Zhou arXiv preprint arXiv:2404.16565, 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 |