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,
author="Hazra, Rima
and Dwivedi, Arpit
and Mukherjee, Animesh",
editor="Amini, Massih-Reza
and Canu, St{\'e}phane
and Fischer, Asja
and Guns, Tias
and Kralj Novak, Petra
and Tsoumakas, Grigorios",
title="Is This Bug Severe? A Text-Cum-Graph Based Model for Bug Severity Prediction",
booktitle="Machine Learning and Knowledge Discovery in Databases",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="236--252",
isbn="978-3-031-26422-1"
}

*** Please see the new version. (10.5281/zenodo.5554978)

There is a total of six files.

• bug_descriptions.csv: This file contains the bug id and its description.
• bug_comments.csv: This file contains three columns. The columns are the bug ids, comments and timestamp of the comment.
• bug_REPORTED_ON_details.csv: This file contains the bug id and the package name on which the bug is reported
• affect_dataset.csv: This file contains the bug id and the affected packages along with the affect timestamp.
• bug_heat_2019.csv: This file contains the bug ids and its bug heats crawled in November 2019.
• bug_heat_2020.csv: This file contains the bug ids and its bug heats crawled in November 2020.