Is this bug severe? A text-cum-graph based model for bug severity prediction

A snapshot of the dataset has been updated. For the time being, we are publishing a snapshot of the dataset where the bugs were reported after 2017. Paper link: https://arxiv.org/abs/2207.00623 (ECML-PKDD 2022) Cite our paper: @InProceedings{10.1007/978-3-031-26422-1_15,<br> author="Hazra, Rima<br> and Dwivedi, Arpit<br> and Mukherjee, Animesh",<br> editor="Amini, Massih-Reza<br> and Canu, St{\'e}phane<br> and Fischer, Asja<br> and Guns, Tias<br> and Kralj Novak, Petra<br> and Tsoumakas, Grigorios",<br> title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction",<br> booktitle="Machine Learning and Knowledge Discovery in Databases",<br> year="2023",<br> publisher="Springer Nature Switzerland",<br> address="Cham",<br> pages="236--252",<br> isbn="978-3-031-26422-1"<br> } <strong>*** Please see the new version. (10.5281/zenodo.5554978)</strong> There is a total of six files. <strong>bug_descriptions.csv:</strong> This file contains the bug id and its description. <strong>bug_comments.csv:</strong> This file contains three columns. The columns are the bug ids, comments and timestamp of the comment. <strong>bug_REPORTED_ON_details.csv:</strong> This file contains the bug id and the package name on which the bug is reported <strong>affect_dataset.csv: </strong>This file contains the bug id and the affected packages along with the affect timestamp. <strong>bug_heat_2019.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2019. <strong>bug_heat_2020.csv:</strong> This file contains the bug ids and its bug heats crawled in November 2020.本数据集快照已完成更新。当前发布的数据集快照仅收录2017年之后上报的软件缺陷（bug）。 论文链接：https://arxiv.org/abs/2207.00623（ECML-PKDD 2022） 请引用本论文： @InProceedings{10.1007/978-3-031-26422-1_15, author="Hazra, Rima and Dwivedi, Arpit and Mukherjee, Animesh", editor="Amini, Massih-Reza and Canu, Stéphane and Fischer, Asja and Guns, Tias and Kralj Novak, Petra and Tsoumakas, Grigorios", title="《缺陷严重程度判定：基于文本与图的缺陷严重度预测模型》", booktitle="《机器学习与数据库中的知识发现》", year="2023", publisher="Springer Nature Switzerland", address="瑞士查姆（Cham）", pages="236--252", isbn="978-3-031-26422-1" } *** 请查看数据集新版本：(10.5281/zenodo.5554978) 本数据集共包含6个文件： **bug_descriptions.csv**：存储缺陷ID及其描述内容。 **bug_comments.csv**：包含三列数据，分别为缺陷ID、评论内容及评论时间戳。 **bug_REPORTED_ON_details.csv**：存储缺陷ID及其所属的上报包名。 **affect_dataset.csv**：存储缺陷ID、受影响的包名以及受影响时间戳。 **bug_heat_2019.csv**：存储缺陷ID及其2019年11月爬取的缺陷热度数据。 **bug_heat_2020.csv**：存储缺陷ID及其2020年11月爬取的缺陷热度数据。