Fuzzing class specifications

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

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

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2. Enabling Efficient Assertion Inference;2023 IEEE 34th International Symposium on Software Reliability Engineering (ISSRE);2023-10-09

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4. AGORA: Automated Generation of Test Oracles for REST APIs;Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis;2023-07-12

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