Applying Large Language Models to Issue Classification
Author:
Affiliation:
1. Grand Canyon University, Phoenix, Arizona, USA
2. Northern Arizona University, Flagstaff, Arizona, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3643787.3648043
Reference15 articles.
1. A. Barcomb K. Stol B. Fitzgerald and D. Riehle. 2020. Managing Episodic Volunteers in Free/Libre/Open Source Software Communities. IEEE Transactions on Software Engineering (2020) 1--1.
2. Few-Shot Learning for Issue Report Classification
3. Rafael Kallis, Giuseppe Colavito, Ali Al-Kaswan, Luca Pascarella, Oscar Chaparro, and Pooja Rani. 2024. The NLBSE'24 Tool Competition. In Proceedings of The 3rd International Workshop on Natural Language-based Software Engineering (NLBSE'24).
4. Ticket Tagger: Machine Learning Driven Issue Classification
5. Predicting issue types on GitHub
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