Bot detection in GitHub repositories
Author:
Affiliation:
1. University of Mons, Mons, Belgium
Funder
Ministère de la Com- 214 munauté française ð Direction générale de lðEnseignement non 215 obligatoire et de la Recherche scientifique
Digital Wallonia
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3524842.3528520
Reference7 articles.
1. Social coding in GitHub
2. Current and Future Bots in Software Development
3. On the accuracy of bot detection techniques
4. A ground-truth dataset and classification model for detecting bots in GitHub issue and PR comments
5. SortingHat: Wizardry on Software Project Members
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1. Enhancing Collaborative Software Development: A Deep Learning Approach for Bot Recommendation;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02
2. On the Industrial Leadership and Involvement in the LwM2M IoT Ecosystem;Proceedings of the ACM/IEEE 6th International Workshop on Software Engineering Research & Practices for the Internet of Things;2024-04-20
3. Automating discussion structure re-organization for GitHub issues;Expert Systems with Applications;2023-09
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