Fuzzing class specifications-Reference-Cited by-同舟云学术

Fuzzing class specifications

Published:2022-05-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 44th International Conference on Software Engineering
language:
Short-container-title:

Author:

Molina Facundo¹,d'Amorim Marcelo²,Aguirre Nazareno¹

Affiliation:

1. University of Rio Cuarto and CONICET, Argentina

2. Federal University of Pernambuco, Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fund Amparo Ciência Pernambuco

Agencia Nacional de Promoción Científica y Tecnológica

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3510003.3510120

Reference50 articles.

1. 2021. Fuzzing Research Tools and their Relatedness. https://fuzzing-survey.org/ 2021. Fuzzing Research Tools and their Relatedness. https://fuzzing-survey.org/

2. 2021. Google's AFL. https://github.com/google/AFL 2021. Google's AFL. https://github.com/google/AFL

3. 2021. Google's ClusterFuzz. https://github.com/google/clusterfuzz 2021. Google's ClusterFuzz. https://github.com/google/clusterfuzz

4. 2021. Google's OSS-Fuzz. https://github.com/google/oss-fuzz 2021. Google's OSS-Fuzz. https://github.com/google/oss-fuzz

5. 2022. SpecFuzzer implementation and replication package. https://sites.google.com/view/specfuzzer 2022. SpecFuzzer implementation and replication package. https://sites.google.com/view/specfuzzer

Cited by 15 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. TR-Fuzz: A syntax valid tool for fuzzing C compilers;Science of Computer Programming;2024-12

2. Abstraction-Aware Inference of Metamorphic Relations;Proceedings of the ACM on Software Engineering;2024-07-12

3. On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset;2024 IEEE Conference on Software Testing, Verification and Validation (ICST);2024-05-27

4. Survey of annotation generators for deductive verifiers;Journal of Systems and Software;2024-05

5. Comprehending Object State via Dynamic Class Invariant Learning;Lecture Notes in Computer Science;2024