Automated Feature Testing of Verilog Parsers using Fuzzing
This program is tentative and subject to change.
In this article we propose a methodology based on fuzzing to test which features are supported by pasers and register an experiment applying this methodology to Verilog-consuming tools. SystemVerilog is a hardware description, specification and verification language widely used in hardware design, and with an active standard committee. Most SystemVerilog-consuming tools have incomplete support and support additional features. These tools do not provide the list of features they support, so identifying commonly supported SystemVerilog features is complicated. This hinders design portability and tool interoperability. We think current efforts to test Verilog-consuming tools feature support are insufficient. All of the previous points justify why Verilog-consuming tools are a good candidate for our methodology. We also provide the first (to our knowledge) open-source parser and fuzzer for Verilog with full support and compliance with the 2005 standard.
This program is tentative and subject to change.
Mon 16 SepDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
10:30 - 12:00 | |||
10:30 15mTalk | Directed or Undirected: Investigating Fuzzing Strategies in a CI/CD Setup FUZZING | ||
10:45 15mTalk | Effective Fuzzing within CI/CD Pipelines FUZZING Arindam Sharma Imperial College London, UK, Cristian Cadar Imperial College London, Jonathan Metzman Google | ||
11:00 15mTalk | Automated Feature Testing of Verilog Parsers using Fuzzing FUZZING Quentin Corradi Imperial College London, John Wickerson Imperial College London, George A. Constantinides Imperial College London, UK | ||
11:15 15mTalk | WebAssembly as a Fuzzing Compilation Target FUZZING Florian Bauckholt CISPA Helmholtz Center for Information Security, Thorsten Holz CISPA Helmholtz Center for Information Security | ||
11:30 15mTalk | Visualization Task Taxonomy to Understand the Fuzzing Internals FUZZING Sriteja Kummita Fraunhofer IEM, Miao Miao The University of Texas at Dallas, Eric Bodden Heinz Nixdorf Institut, Paderborn University and Fraunhofer IEM, Shiyi Wei University of Texas at Dallas |