Xin Tan

28 papers A* 5A 1Journal 17Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Facilitating Wise Decision-Making for Bounty Backers in Open Source Software Communities.
IEEE Trans. Software Eng.
Xin Tan, Bo Hou, Xianjun Ni, Yuxia Zhang, Jing Jiang, Minghui Zhou, Li Zhang
2025 J jnl
LLM-Driven Collaborative Model for Untangling Commits via Explicit and Implicit Dependency Reasoning.
CoRR
Bo Hou, Xin Tan, Kai Zheng, Fang Liu, Yinghao Zhu, Li Zhang
2025 J jnl
Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor.
Proc. ACM Softw. Eng.
Xin Tan, Xiao Long, Yinghao Zhu, Lin Shi, Xiaoli Lian, Li Zhang
2024 A conf
Challenges of Using Pre-trained Models: the Practitioners' Perspective.
SANER
Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang
2024 J jnl
Challenges of Using Pre-trained Models: the Practitioners' Perspective.
CoRR
Xin Tan, Taichuan Li, Ruohe Chen, Fang Liu, Li Zhang
2024 A* conf
DRMiner: Extracting Latent Design Rationale from Jira Issue Logs.
ASE
Jiuang Zhao, Zitian Yang, Li Zhang, Xiaoli Lian, Donghao Yang, Xin Tan
2024 J jnl
How far are AI-powered programming assistants from meeting developers' needs?
CoRR
Xin Tan, Xiao Long, Xianjun Ni, Yinghao Zhu, Jing Jiang, Li Zhang
2024 J jnl
How to Gain Commit Rights in Modern Top Open Source Communities?
CoRR
Xin Tan, Yan Gong, Geyu Huang, Haohua Wu, Li Zhang
2024 J jnl
How to Gain Commit Rights in Modern Top Open Source Communities?
Proc. ACM Softw. Eng.
Xin Tan, Yan Gong, Geyu Huang, Haohua Wu, Li Zhang
2024 — conf
Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models.
ICSE Companion
Xiaoli Lian, Shuaisong Wang, Jieping Ma, Xin Tan, Fang Liu, Lin Shi, Cuiyun Gao, Li Zhang
2024 J jnl
Uncovering Weaknesses in Neural Code Generation.
CoRR
Xiaoli Lian, Shuaisong Wang, Jieping Ma, Fang Liu, Xin Tan, Li Zhang, Lin Shi, Cuiyun Gao
2024 J jnl
Understanding Real-Time Collaborative Programming: A Study of Visual Studio Live Share.
ACM Trans. Softw. Eng. Methodol.
Xin Tan, Xinyue Lv, Jing Jiang, Li Zhang
2024 J jnl
What can we learn from quality assurance badges in open-source software?
Sci. China Inf. Sci.
Feng Li, Yiling Lou, Xin Tan, Zhenpeng Chen, Jinhao Dong, Yang Li, Xuanzhi Wang, Dan Hao, Lu Zhang
2023 A* conf
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues.
ICSE
Xin Tan, Yiran Chen, Haohua Wu, Minghui Zhou, Li Zhang
2023 J jnl
Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues.
CoRR
Xin Tan, Yiran Chen, Haohua Wu, Minghui Zhou, Li Zhang
2023 J jnl
Understanding Mentors' Engagement in OSS Communities via Google Summer of Code.
IEEE Trans. Software Eng.
Xin Tan, Minghui Zhou, Li Zhang
2022 A* conf
An Exploratory Study of Deep learning Supply Chain.
ICSE
Xin Tan, Kai Gao, Minghui Zhou, Li Zhang
2022 A* conf
Recommending Good First Issues in GitHub OSS Projects.
ICSE
Wenxin Xiao, Hao He, Weiwei Xu, Xin Tan, Jinhao Dong, Minghui Zhou
2022 J jnl
Scaling Open Source Software Communities: Challenges and Practices of Decentralization.
IEEE Softw.
Xin Tan, Minghui Zhou
2022 J jnl
Turnover of Companies in OpenStack: Prevalence and Rationale.
ACM Trans. Softw. Eng. Methodol.
Yuxia Zhang, Hui Liu, Xin Tan, Minghui Zhou, Zhi Jin, Jiaxin Zhu
2020 — conf
A first look at good first issues on GitHub.
ESEC/SIGSOFT FSE
Xin Tan, Minghui Zhou, Zeyu Sun
2020 J jnl
Pandemic Programming: How COVID-19 affects software developers and how their organizations can help.
CoRR
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
2020 J jnl
Pandemic programming.
Empir. Softw. Eng.
Paul Ralph, Sebastian Baltes, Gianisa Adisaputri, Richard Torkar, Vladimir Kovalenko, Marcos Kalinowski, Nicole Novielli, Shin Yoo, Xavier Devroey, Xin Tan, Minghui Zhou, Burak Turhan, Rashina Hoda, Hideaki Hata, Gregorio Robles, Amin Milani Fard, Rana Alkadhi
2020 A* conf
Scaling open source communities: an empirical study of the Linux kernel.
ICSE
Xin Tan, Minghui Zhou, Brian Fitzgerald
2019 J jnl
How to Communicate when Submitting Patches: An Empirical Study of the Linux Kernel.
Proc. ACM Hum. Comput. Interact.
Xin Tan, Minghui Zhou
2019 — conf
Reducing the workload of the Linux kernel maintainers: multiple-committer model.
ESEC/SIGSOFT FSE
Xin Tan
2018 — conf
Companies' domination in FLOSS development: an empirical study of OpenStack.
ICSE (Companion Volume)
Yuxia Zhang, Xin Tan, Minghui Zhou, Zhi Jin
2017 — conf
Understanding the Variation of Software Development Tasks: a Qualitative Study.
Internetware
Xin Tan, Hanmin Qin, Minghui Zhou