Maestro: a platform for benchmarking automatic program repair tools on software vulnerabilities-Reference-Cited by-同舟云学术

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

Published:2022-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis
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Author:

Pinconschi Eduard¹,Bui Quang-Cuong²,Abreu Rui¹,Adão Pedro³,Scandariato Riccardo²

Affiliation:

1. INESC-ID, Portugal / University of Porto, Portugal

2. Hamburg University of Technology, Germany

3. IST-ULisboa, Portugal / Instituto de Telecomunicações, Portugal

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3533767.3543291

Reference21 articles.

1. Q. C. Bui R. Scandariato and N. E. Díaz Ferreyra. 2022. Vul4J: A Dataset of Reproducible Java Vulnerabilities Geared Towards the Study of Program Repair Techniques. In MSR. Q. C. Bui R. Scandariato and N. E. Díaz Ferreyra. 2022. Vul4J: A Dataset of Reproducible Java Vulnerabilities Geared Towards the Study of Program Repair Techniques. In MSR.

2. Brian Caswell. 2017. Cyber Grand Challenge Corpus. http://www.lungetech.com/cgc-corpus Accessed 19-April-2022 Brian Caswell. 2017. Cyber Grand Challenge Corpus. http://www.lungetech.com/cgc-corpus Accessed 19-April-2022

3. Z. Chen S. Kommrusch and M. Monperrus. 2022. Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. IEEE TSE. Z. Chen S. Kommrusch and M. Monperrus. 2022. Neural Transfer Learning for Repairing Security Vulnerabilities in C Code. IEEE TSE.

4. J. Chi Y. Qu T. Liu Q. Zheng and H. Yin. 2020. SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning. arXiv:2010.10805. J. Chi Y. Qu T. Liu Q. Zheng and H. Yin. 2020. SeqTrans: Automatic Vulnerability Fix via Sequence to Sequence Learning. arXiv:2010.10805.

5. T. Durieux F. Madeiral M. Martinez and R. Abreu. 2019. Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2 141 Bugs and 23 551 Repair Attempts. In ESEC/FSE. T. Durieux F. Madeiral M. Martinez and R. Abreu. 2019. Empirical Review of Java Program Repair Tools: A Large-Scale Experiment on 2 141 Bugs and 23 551 Repair Attempts. In ESEC/FSE.

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