Personalized First Issue Recommender for Newcomers in Open Source Projects
Author:
Affiliation:
1. School of Computer Science, Peking University,China
2. Norwegian University of Science and Technology,Trondheim,Norway
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10298258/10298286/10298526.pdf?arnumber=10298526
Reference71 articles.
1. Boosting API Recommendation with Implicit Feedback
2. What make long term contributors: Willingness and opportunity in OSS community
3. Rule-based specification mining leveraging learning to rank
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Open Source Software Digital Sociology;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15
2. How Early Participation Determines Long-Term Sustained Activity in GitHub Projects?;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30
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