How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching-Reference-Cited by-同舟云学术

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How the Training Procedure Impacts the Performance of Deep Learning-based Vulnerability Patching

Published:2024-06-18 Issue: Volume:34 Page:150-159
ISSN:
Container-title:Proceedings of the 28th International Conference on Evaluation and Assessment in Software Engineering
language:
Short-container-title:

Author:

Mastropaolo Antonio¹^ORCID,Nardone Vittoria²^ORCID,Bavota Gabriele¹^ORCID,Di Penta Massimiliano³^ORCID

Affiliation:

1. Università della Svizzera italiana, Switzerland

2. University of Molise, Italy

3. University of Sannio, Italy

Funder

European Research Council (ERC) under the European Union?s Horizon 2020 research and innovation programme

Horizon 2020 (EU Commission) project COSMOS (DevOps for Complex Cyber-physical Systems)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3661167.3661200

Reference57 articles.

1. 2023. Apache Log4j Security Vulnerabilities https://logging.apache.org/log4j/2.x/security.html. Accessed: 2023-03-27.

2. 2023. CWE - Common Weakness Enumeration https://cwe.mitre.org/. Accessed: 2023-01-13.

3. 2023. The Edgescan Vulnerability Stats Report https://www.edgescan.com/intel-hub/stats-reports/. Accessed: 2023-03-27.

4. 2023. GitHub Wiki https://en.wikipedia.org/wiki/GitHub. Accessed: 2023-03-27.

5. The Mayhem Cyber Reasoning System

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