An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources-Reference-Cited by-同舟云学术

An Investigation into Inconsistency of Software Vulnerability Severity across Data Sources

Published:2022-03 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
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Author:

Croft Roland¹,Babar M. Ali¹,Li Li²

Affiliation:

1. School of Computer Science, University of Adelaide,Adelaide,Australia

2. Monash University,Faculty of Information Technology,Melbourne,Australia

Publisher

IEEE

Link

Reference39 articles.

1. Deepcva: Automated commit-level vulnerability assessment with deep multi-task learning;le;ArXiv Preprint,2021

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2. CrashTalk: Automated Generation of Precise, Human Readable, Descriptions of Software Security Bugs;Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy;2024-06-19

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4. Towards More Practical Automation of Vulnerability Assessment;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

5. Toward Improved Deep Learning-based Vulnerability Detection;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-02-06