Pandemic programming: How COVID-19 affects software developers and how their organizations can help P Ralph, S Baltes, G Adisaputri, R Torkar, V Kovalenko, M Kalinowski, ... Empirical software engineering 25, 4927-4961, 2020 | 362 | 2020 |
A first look at good first issues on GitHub X Tan, M Zhou, Z Sun Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 65 | 2020 |
Recommending good first issues in github oss projects W Xiao, H He, W Xu, X Tan, J Dong, M Zhou Proceedings of the 44th International Conference on Software Engineering …, 2022 | 39 | 2022 |
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 | 35 | 2022 |
How to communicate when submitting patches: An empirical study of the Linux kernel X Tan, M Zhou Proceedings of the ACM on Human-Computer Interaction 3 (CSCW), 1-26, 2019 | 35 | 2019 |
Scaling open source communities: an empirical study of the Linux kernel X Tan, M Zhou, B Fitzgerald Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 31 | 2020 |
Turnover of companies in OpenStack: Prevalence and rationale Y Zhang, H Liu, X Tan, M Zhou, Z Jin, J Zhu ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (4), 1-24, 2022 | 16 | 2022 |
Companies' domination in FLOSS development: an empirical study of OpenStack Y Zhang, X Tan, M Zhou, Z Jin Proceedings of the 40th International Conference on Software Engineering …, 2018 | 16 | 2018 |
Scaling open source software communities: Challenges and practices of decentralization X Tan, M Zhou IEEE software 39 (1), 70-75, 2020 | 15 | 2020 |
Pandemic programming: how COVID-19 affects software developers and how their organizations can help (2020) P Ralph, S Baltes, G Adisaputri, R Torkar, V Kovalenko, M Kalinowski, ... arXiv preprint arXiv:2005.01127, 2005 | 8 | 2005 |
Pandemic programming X Tan, M Kalinowski, N Novielli, AM Fard, S Yoo, H Hata, X Devroey, ... Empirical Software Engineering 25, 4927-4961, 2020 | 7 | 2020 |
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues X Tan, Y Chen, H Wu, M Zhou, L Zhang ICSE 2023, 2023 | 6 | 2023 |
Software digital sociology M Zhou, Y Zhang, X Tan SCIENTIA SINICA Informationis 49 (11), 1399-1411, 2019 | 6 | 2019 |
Understanding mentors’ engagement in OSS communities via google summer of code X Tan, M Zhou, L Zhang IEEE Transactions on Software Engineering 49 (5), 3106-3130, 2023 | 5 | 2023 |
Reducing the workload of the Linux kernel maintainers: Multiple-committer model X Tan Proceedings of the 2019 27th ACM Joint Meeting on European Software …, 2019 | 5 | 2019 |
Understanding real-time collaborative programming: a study of visual studio live share X Tan, X Lv, J Jiang, L Zhang ACM Transactions on Software Engineering and Methodology 33 (4), 1-28, 2024 | 4 | 2024 |
How far are AI-powered programming assistants from meeting developers' needs? X Tan, X Long, X Ni, Y Zhu, J Jiang, L Zhang arXiv preprint arXiv:2404.12000, 2024 | 3 | 2024 |
Challenges of Using Pre-trained Models: the Practitioners' Perspective X Tan, T Li, R Chen, F Liu, L Zhang 2024 IEEE International Conference on Software Analysis, Evolution and …, 2024 | 3 | 2024 |
Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models X Lian, S Wang, J Ma, X Tan, F Liu, L Shi, C Gao, L Zhang Proceedings of the 2024 IEEE/ACM 46th International Conference on Software …, 2024 | 2 | 2024 |
What can we learn from quality assurance badges in open-source software? F Li, Y Lou, X Tan, Z Chen, J Dong, Y Li, X Wang, D Hao, L Zhang Science China Information Sciences 67 (4), 142103, 2024 | 2 | 2024 |