SeqTrans: Automatic Vulnerability Fix Via Sequence to Sequence Learning

Author:

Chi Jianlei1ORCID,Qu Yu2ORCID,Liu Ting1ORCID,Zheng Qinghua1,Yin Heng2

Affiliation:

1. Ministry of Education Key Lab For Intelligent Networks and Network Security (MOEKLINNS), School of Computer Science and Technology, Xian Jiaotong University, Xian, China

2. Department of Computer Science and Engineering, UC Riverside, Riverside, CA, USA

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Innovation Research Team of Ministry of Education

China Knowledge Centre for Engineering Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Software

Reference104 articles.

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. A Survey of Learning-based Automated Program Repair;ACM Transactions on Software Engineering and Methodology;2023-12-23

2. APR4Vul: an empirical study of automatic program repair techniques on real-world Java vulnerabilities;Empirical Software Engineering;2023-12-06

3. Enhancing Code Language Models for Program Repair by Curricular Fine-tuning Framework;2023 IEEE International Conference on Software Maintenance and Evolution (ICSME);2023-10-01

4. An Empirical Study on Fine-Tuning Large Language Models of Code for Automated Program Repair;2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE);2023-09-11

5. VulRepair: a T5-based automated software vulnerability repair;Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2022-11-07

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