Severity Prediction of Software Vulnerabilities based on their Text Description

Author:

Babalau Ion1,Corlatescu Dragos1,Grigorescu Octavian2,Sandescu Cristian2,Dascalu Mihai1

Affiliation:

1. University Politehnica of Bucharest,Computer Science,Bucharest,Romania

2. CODA Intelligence SRL,Software Development Department,Bucharest,Romania

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Text mining based an automatic model for software vulnerability severity prediction;International Journal of System Assurance Engineering and Management;2024-05-31

2. Logs2Vul: Vulnerability Detection from Logs for CSPM;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

3. AIBugHunter: A Practical tool for predicting, classifying and repairing software vulnerabilities;Empirical Software Engineering;2023-11-20

4. VulExplainer: A Transformer-Based Hierarchical Distillation for Explaining Vulnerability Types;IEEE Transactions on Software Engineering;2023-10-01

5. Toward More Effective Deep Learning-based Automated Software Vulnerability Prediction, Classification, and Repair;2023 IEEE/ACM 45th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion);2023-05

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