返回
摘要
En 中文
This paper introduces a tool for classifying software issue reports using machine learning techniques. The tool implements traditional machine learning techniques, AutoML, and more advanced large-language models to support automated categorization of issue reports. The tool has been evaluated on datasets from multiple open-source and closed-source software projects. The tool has also been evaluated in real industrial settings. The evaluation results and the feedback from practitioners indicate that the tool has the potential to assist practitioners in the early classification of issue reports.
Keyword:
Issue report classification
Bug report classification
Software analytics
AI4SE
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

