Adding sparkle to social coding: an empirical study of repository badges in the npm ecosystem A Trockman, S Zhou, C Kästner, B Vasilescu Proceedings of the 40th international conference on software engineering …, 2018 | 135 | 2018 |
Collaboration challenges in building ml-enabled systems: Communication, documentation, engineering, and process N Nahar, S Zhou, G Lewis, C Kästner Proceedings of the 44th international conference on software engineering …, 2022 | 134 | 2022 |
Identifying features in forks S Zhou, Ş Stănciulescu, O Leßenich, Y Xiong, A Wąsowski, C Kästner Proceedings of the 40th international conference on software engineering …, 2018 | 63 | 2018 |
What the fork: a study of inefficient and efficient forking practices in social coding S Zhou, B Vasilescu, C Kästner Proceedings of the 2019 27th ACM joint meeting on european software …, 2019 | 58 | 2019 |
How has forking changed in the last 20 years? a study of hard forks on github S Zhou, B Vasilescu, C Kästner Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 57 | 2020 |
Understanding collaborative software development: An interview study K Constantino, S Zhou, M Souza, E Figueiredo, C Kästner Proceedings of the 15th international conference on global software …, 2020 | 42 | 2020 |
Identifying redundancies in fork-based development L Ren, S Zhou, C Kästner, A Wąsowski 2019 IEEE 26th International conference on software analysis, evolution and …, 2019 | 42 | 2019 |
A meta-summary of challenges in building products with ml components–collecting experiences from 4758+ practitioners N Nahar, H Zhang, G Lewis, S Zhou, C Kästner 2023 IEEE/ACM 2nd International Conference on AI Engineering–Software …, 2023 | 30 | 2023 |
Perceptions of open‐source software developers on collaborations: An interview and survey study K Constantino, M Souza, S Zhou, E Figueiredo, C Kästner Journal of Software: Evolution and Process 35 (5), e2393, 2023 | 26 | 2023 |
Extracting configuration knowledge from build files with symbolic analysis S Zhou, J Al-Kofahi, TN Nguyen, C Kästner, S Nadi 2015 IEEE/ACM 3rd International Workshop on Release Engineering, 20-23, 2015 | 23 | 2015 |
Subtle Bugs Everywhere: Generating Documentation for Data Wrangling Code C Yang, S Zhou, JLC Guo, C Kästner Proceedings of the 36th IEEE/ACM International Conference on Automated …, 2021 | 20 | 2021 |
Interactive patch filtering as debugging aid J Liang, R Ji, J Jiang, S Zhou, Y Lou, Y Xiong, G Huang 2021 IEEE International Conference on Software Maintenance and Evolution …, 2021 | 18 | 2021 |
Aspirations and practice of ml model documentation: Moving the needle with nudging and traceability A Bhat, A Coursey, G Hu, S Li, N Nahar, S Zhou, C Kästner, JLC Guo Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems …, 2023 | 16 | 2023 |
An empirical study of emoji use in software development communication S Rong, W Wang, UA Mannan, ES De Almeida, S Zhou, I Ahmed Information and Software Technology 148, 106912, 2022 | 13 | 2022 |
Forks insight: Providing an overview of github forks L Ren, S Zhou, C Kästner Proceedings of the 40th International Conference on Software Engineering …, 2018 | 12 | 2018 |
Splitting, renaming, removing: a study of common cleaning activities in jupyter notebooks H Dong, S Zhou, JLC Guo, C Kästner 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 11 | 2021 |
An exploratory study to find motives behind cross-platform forks from software heritage dataset A Bhattacharjee, SS Nath, S Zhou, D Chakroborti, B Roy, CK Roy, ... Proceedings of the 17th International Conference on Mining Software …, 2020 | 10 | 2020 |
In the age of collaboration, the computer-aided design ecosystem is behind: An interview study of distributed cad practice K Cheng, MK Davis, X Zhang, S Zhou, A Olechowski Proceedings of the ACM on Human-Computer Interaction 7 (CSCW1), 1-29, 2023 | 9 | 2023 |
Identifying features in forks. In 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE) S Zhou, S Stanciulescu, O Leßenich, Y Xiong, A Wasowski, C Kästner IEEE, 105ś116. https://doi. org/10.1145/3180155.3180205, 2018 | 9 | 2018 |
A dataset and analysis of open-source machine learning products N Nahar, H Zhang, G Lewis, S Zhou, C Kästner arXiv preprint arXiv:2308.04328, 2023 | 8 | 2023 |