BigFuzz

Author:

Zhang Qian1,Wang Jiyuan1,Gulzar Muhammad Ali2,Padhye Rohan3,Kim Miryung1

Affiliation:

1. University of California

2. Virginia Tech

3. Carnegie Mellon University

Funder

NSF

Samsung

Alexander von Humboldt Foundation

Google PhD Fellowship

Intel

ONR

Publisher

ACM

Reference73 articles.

1. 2020. https://hadoop.apache.org/. 2020. https://hadoop.apache.org/.

2. 2020. https://spark.apache.org/. 2020. https://spark.apache.org/.

3. 2020. https://stackoverflow.com/. 2020. https://stackoverflow.com/.

4. 2020. https://github.com/. 2020. https://github.com/.

5. 2020. https://asm.ow2.io/. 2020. https://asm.ow2.io/.

Cited by 26 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. Natural Symbolic Execution-Based Testing for Big Data Analytics;Proceedings of the ACM on Software Engineering;2024-07-12

2. A novel generative adversarial network-based fuzzing cases generation method for industrial control system protocols;Computers and Electrical Engineering;2024-07

3. When less is more: on the value of “co-training” for semi-supervised software defect predictors;Empirical Software Engineering;2024-02-24

4. Leveraging Hardware Probes and Optimizations for Accelerating Fuzz Testing of Heterogeneous Applications;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

5. Co-dependence Aware Fuzzing for Dataflow-Based Big Data Analytics;Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering;2023-11-30

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