Fuzz Testing
Fuzz Testing is a software testing technique that involves the automated, systematic input of malformed or unexpected data into a program to discover vulnerabilities, errors, or crashes by monitoring for abnormal behavior, thereby distinguishing it from other testing methods through its reliance on random or semi-random input generation to probe program robustness.
652
Publications
41.2K
Citations
1.8K
Authors
490
Institutions
Publications per year
2017–2026
480
652
Studies in Fuzziness and Soft Computing
M.K. Luhandjula · 2013 · 1.1K citations
Automated Whitebox Fuzz Testing.
Patrice Godefroid, Michael Y. Levin, David A. Molnar · 2008 · 1.1K citations
ContractFuzzer: fuzzing smart contracts for vulnerability detection
Bo Jiang, Ye Liu, W. K. Chan · 2018 · 798 citations · Full text
Marcel Böhme, Van-Thuan Pham, Manh-Dung Nguyen et al. · 2017 · 717 citations
1–5 of 652
1.8K
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1–5 of 1.8K
490
Tsinghua University
Beijing, China
24 h-index
122 publications
6.9K citations
National University of Singapore
Singapore, Singapore
17 h-index
47 publications
7.7K citations
Georgia Institute of Technology
Atlanta, United States
16 h-index
52 publications
4.1K citations
Ruhr University Bochum
Bochum, Germany
15 h-index
52 publications
4.6K citations
Nanyang Technological University
Singapore, Singapore
15 h-index
51 publications
5.1K citations
Microsoft (United States)
Redmond, United States
15 h-index
26 publications
3.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
14 h-index
44 publications
3.9K citations

National University of Defense Technology
Changsha, China
13 h-index
80 publications
2.2K citations
1–8 of 490
Repository · 30 publications · 872 citations
18
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Conference · 13 publications · 589 citations
13
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13 publications · 463 citations
12
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Conference · 11 publications · 1K citations
11
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PACMPL · 10 publications · 513 citations
10
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