sdvbench | Microsoft Static Driver Verifier Benchmarks
kandi X-RAY | sdvbench Summary
kandi X-RAY | sdvbench Summary
sdvbench is a C# library. sdvbench has no bugs, it has no vulnerabilities and it has low support. However sdvbench has a Non-SPDX License. You can download it from GitHub.
Download here (Approx. 15000 files, 1.3GB compressed). This repository contains a subset of the internal tests used by Microsoft's Static Driver Verifier tool. These tests are generated from Window's Device Drivers while checking for one of the various properties that WDM drivers must satisfy. SDV is a cornerstone in the successful application of automated program verification in the industry. It has given rise to verifiers like SLAM, Yogi and Corral, and indirectly influenced the design of many other verifiers. These programs represent one of the most comprehensive and challenging collection of industrial-strength verification benchmarks. Each program is a Boogie file and represents checking of one property on a single driver. The file names are loosely derived from the signature DriverName_PropertyName_InstanceNumber.bpl. A single property can give rise to many verification checks, hence the use of InstanceNumber. The property is already instrumented into the code as assertions. There is a well-defined entrypoint, which is the unique procedure tagged with {:entrypoint} annotation. The goal of the verifier is to find an execution of the program, starting at this entrypoint, that ends in an assertion failure. That's it! The entire process of how the file is generated is explained in our FSE 2014 paper. The programs are readily analyzed by Corral, a whole-program verifier for Boogie programs. The flags used to run Corral are mentioned alongside each file. Note that while running with a timeout of 2000 seconds, the entire suite takes over a month of CPU time to finish (when running sequentially) with Corral. These program carry some preculiarities specific of the use of Corral inside SDV. For instance, all loops have been converted to recursive procedures. Predicates that are used as Houdini candidates (for generating program invariants) are detailed alongside the procedure tagged with the annotation {:template}. We invite contributions from the community to help navigate these benchmarks and make them accessible to other verification tools. As an example, we have added BoogieFileStats utility. To use it, build BoogieFileStats\BoogieFileStats.sln using VS 2015. Then execute it as follows to obtain some simple statistics about a Boogie program.
Download here (Approx. 15000 files, 1.3GB compressed). This repository contains a subset of the internal tests used by Microsoft's Static Driver Verifier tool. These tests are generated from Window's Device Drivers while checking for one of the various properties that WDM drivers must satisfy. SDV is a cornerstone in the successful application of automated program verification in the industry. It has given rise to verifiers like SLAM, Yogi and Corral, and indirectly influenced the design of many other verifiers. These programs represent one of the most comprehensive and challenging collection of industrial-strength verification benchmarks. Each program is a Boogie file and represents checking of one property on a single driver. The file names are loosely derived from the signature DriverName_PropertyName_InstanceNumber.bpl. A single property can give rise to many verification checks, hence the use of InstanceNumber. The property is already instrumented into the code as assertions. There is a well-defined entrypoint, which is the unique procedure tagged with {:entrypoint} annotation. The goal of the verifier is to find an execution of the program, starting at this entrypoint, that ends in an assertion failure. That's it! The entire process of how the file is generated is explained in our FSE 2014 paper. The programs are readily analyzed by Corral, a whole-program verifier for Boogie programs. The flags used to run Corral are mentioned alongside each file. Note that while running with a timeout of 2000 seconds, the entire suite takes over a month of CPU time to finish (when running sequentially) with Corral. These program carry some preculiarities specific of the use of Corral inside SDV. For instance, all loops have been converted to recursive procedures. Predicates that are used as Houdini candidates (for generating program invariants) are detailed alongside the procedure tagged with the annotation {:template}. We invite contributions from the community to help navigate these benchmarks and make them accessible to other verification tools. As an example, we have added BoogieFileStats utility. To use it, build BoogieFileStats\BoogieFileStats.sln using VS 2015. Then execute it as follows to obtain some simple statistics about a Boogie program.
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sdvbench has a low active ecosystem.
It has 10 star(s) with 2 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
sdvbench has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of sdvbench is current.
Quality
sdvbench has no bugs reported.
Security
sdvbench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
sdvbench has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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sdvbench releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sdvbench
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of sdvbench
sdvbench Key Features
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sdvbench Examples and Code Snippets
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You can download it from GitHub.
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