Maestro: A platform for benchmarking automatic program repair tools on software vulnerabilities

被引：0

作者：

Pinconschi, Eduard ^{[1
]}

Bui, Quang-Cuong ^{[2
]}

Abreu, Rui ^{[1
]}

Adão, Pedro ^{[3
]}

Scandariato, Riccardo ^{[2
]}

机构：

[1] INESC-ID, University of Porto, Portugal

[2] Hamburg University of Technology, Germany

[3] IST-ULisboa, Instituto de Telecomunicações, Portugal

来源：

ISSTA 2022 - Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis | 2022年

关键词：

Compendex;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Repair

引用

页码：789 / 792

共 3 条

[1] Automatic Software Code Repair Using Deep Learning Techniques [J].

Abdollahpour, Mohammad Mahdi ;

Ashtiani, Mehrdad ;

Bakhshi, Fatemeh .

SSRN, 2022,

Bui, Quang-Cuong ;

Scandariato, Riccardo ;

Ferreyra, Nicolas E. Diaz .

Proceedings - 2022 Mining Software Repositories Conference, MSR 2022, 2022, :464-468

Wang, Weishi ;

Joty, Shafiq ;

Wang, Yue ;

Hoi, Steven C.H. .

arXiv, 2023,