hw-fuzzing | Maintainer Timothy Trippel Personal Website https

 by   googleinterns Python Version: 1.0 License: Apache-2.0

kandi X-RAY | hw-fuzzing Summary

kandi X-RAY | hw-fuzzing Summary

hw-fuzzing is a Python library. hw-fuzzing has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However hw-fuzzing build file is not available. You can download it from GitHub.

Maintainer: Timothy Trippel Personal Website: Due to the economic and reputational incentives to design and fabricate flawless hardware, design verification research has been an active arena. Unfortunately the fruits of this labor mainly consist of strategies concentrated at two extremes: 1) broad coverage through constrained random verification, or 2) (bounded) formal verification. Moreover, both of these techniques require extensive implementation knowledge of the Design Under Test (DUT) to be effective.
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              hw-fuzzing has a low active ecosystem.
              It has 18 star(s) with 5 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              hw-fuzzing has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hw-fuzzing is 1.0

            kandi-Quality Quality

              hw-fuzzing has no bugs reported.

            kandi-Security Security

              hw-fuzzing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              hw-fuzzing is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              hw-fuzzing releases are available to install and integrate.
              hw-fuzzing has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hw-fuzzing and discovered the below as its top functions. This is intended to give you an instant insight into hw-fuzzing implemented functionality, and help decide if they suit your requirements.
            • Generate the coverage plot
            • Get axis limits
            • Format a matplotlib plot
            • Get legend labels
            • Builds a pandas dataframe from exp2 data
            • Gets the total total path of a given time
            • Calculate the coverage at a given time
            • Fuzzing pipeline
            • Build docker image
            • Builds the dataframe for the instruction complexity
            • Load fuzzing data
            • Pull data from GCS fuzzing data bucket
            • Build a pandas dataframe of fork server options
            • Build the basic block stats
            • Compute Mann - Whitney U
            • Compute statistics for hwf vs rf
            • Computes Mann - Whitney U - Whitney U test
            • Dump coverage data to a csv file
            • Generate fuzzer seed from a YAML file
            • Generate the plots
            • Put data into the specified address
            • Build a pandas dataframe containing the minimum coverage of each experiment
            • Build a pandas dataframe containing the max fuzz coverage
            • Generate the plots for the given instrument
            • Runs the fuzz test benchmark
            • Acquire the CUT
            Get all kandi verified functions for this library.

            hw-fuzzing Key Features

            No Key Features are available at this moment for hw-fuzzing.

            hw-fuzzing Examples and Code Snippets

            No Code Snippets are available at this moment for hw-fuzzing.

            Community Discussions

            No Community Discussions are available at this moment for hw-fuzzing.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install hw-fuzzing

            The automated Hardware Fuzzing Pipeline (HWFP) Python tooling is tested using Python 3.8, and requires the following dependencies.
            Create Python virtual environment (not required, but recommended).
            Activate virtual environment (if you made one).
            pip install -r infra/hwfp/requirements.txt
            pip install -r infra/base-sim/hwfutils/requirements.txt
            make build-infra
            Grab a cup of coffee ☕... this will take a while since we are building LLVM here.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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          • HTTPS

            https://github.com/googleinterns/hw-fuzzing.git

          • CLI

            gh repo clone googleinterns/hw-fuzzing

          • sshUrl

            git@github.com:googleinterns/hw-fuzzing.git

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