Few-Shot Learning for Issue Report Classification-Reference-Cited by-同舟云学术

Few-Shot Learning for Issue Report Classification

Published:2023-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/ACM 2nd International Workshop on Natural Language-Based Software Engineering (NLBSE)
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Author:

Colavito Giuseppe¹,Lanubile Filippo¹,Novielli Nicole¹

Affiliation:

1. University of Bari,Italy

Publisher

IEEE

Link

Reference27 articles.

1. The nlbse'23 tool competition;kallis;Proceedings of The 2nd Intl Workshop on Natural Language-based Software Engineering (NLBSE'23),0

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1. Applying Large Language Models to Issue Classification;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

2. Text-To-Text Generation for Issue Report Classification;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

3. Few-Shot Issue Report Classification with Adapters;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

5. Leveraging GPT-like LLMs to Automate Issue Labeling;Proceedings of the 21st International Conference on Mining Software Repositories;2024-04-15