SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices
Author:
Affiliation:
1. State Key Laboratory of Intelligent Game,Beijing,China
2. School of Software, Beihang University,Beijing,China
3. The University of Queensland,Brisbane,Australia
Funder
National Natural Science Foundation of China
Youth Innovation Promotion Association Chinese Academy of Sciences
University of Queensland NSRSG
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10298258/10298286/10298463.pdf?arnumber=10298463
Reference59 articles.
1. Language Models as Knowledge Bases?
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3. Parameter-efficient transfer learning for nlp;houlsby;Int Conference on Machine Learning,0
4. Prag-matic characteristics of security conversations: an exploratory linguistic analysis;meyers;Proceedings of the 12th International Workshop on Co-operative and Human Aspects of Software Engineering CHASE ICSE 2019,2019
5. GPT understands, too;liu;CoRR,2021
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