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An experimental framework for temporal verification based on first-order linear-time temporal logic. Our goal is to express transition systems in first-order logic and verify temporal correctness properties, including safety and liveness.

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flyvy-verifier/flyvy

Temporal Verifier

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Overview

An experimental framework for temporal verification based on first-order linear-time temporal logic. Our goal is to express transition systems in first-order logic and verify temporal correctness properties, including safety and liveness.

Try it out

Run ./tools/download-solvers.sh to get compatible versions of the supported SMT solvers (Z3, CVC5, and CVC4).

cargo run -- verify temporal-verifier/examples/lockserver.fly

cargo run -- infer qalpha temporal-verifier/examples/lockserver.fly --quantifier "F node 2" --clause-size=3 --cubes=0

# invariant inference with qalpha
# note: this example takes several minutes to run
env RUST_LOG=info cargo run --release -- \
  infer qalpha temporal-verifier/examples/consensus_epr.fly --time \
  --custom-quant --sort quorum --sort node --sort value \
  --max-exist 1 --abort-unsafe --until-safe --minimal-smt \
  --extend-depth 1 --extend-width 10

# bounded model checking
cargo run -r -- set-check temporal-verifier/examples/consensus.fly \
  --bound node=2 --bound value=2 --bound quorum=2

## bounded model checking using a sat solver
cargo run -r -- sat-check temporal-verifier/examples/consensus.fly \
  --bound node=2 --bound value=2 --bound quorum=2 --depth=15

Prerequisites

You'll need Rust (for example, through rustup) - stable and nightly should both work. To get the right versions of the solvers run ./tools/download-solvers.sh, which are needed to run all the tests.

Build & Run

  1. cargo build
  2. cargo test to run tests
  3. cargo run -- verify <file.fly> will run the verifier on an input file

You can run cargo bench to run the performance benchmarks.

For debug logging, we use the env_logger crate, which uses the RUST_LOG environment variable to configure logging. For example, to get info-level messages run with env RUST_LOG=info cargo run -- ....

API documentation

You can read the automatically generated rustdoc documentation by running:

cargo doc --document-private-items --no-deps --open

The code is split into several top-level crates, which are listed in the sidebar of the documentation. cargo doc opens the alphabetically first crate, which happens to be bounded, but you may want to start reading from the fly crate. The overall organization of crates is the following:

There are three "core" crates:

  • smtlib low-level interface to the Z3 and CVC5 solvers
  • fly the core "fly" language and general tools
  • solver a solver interface that is based on fly's terms rather than s-expressions

On top of these tools we implement several features in independent crates:

  • verify prove safety using user-provided invariants
  • inference infer inductive invariants
  • bounded a few implementations of bounded model checkers for safety problems
  • temporal-verifier the command-line interface to all flyvy tools

Performance benchmarking

The first step is to run temporal-verifier infer or temporal-verifier verify with the --time option, which will give some coarse results on how much time is spent in the solver vs. in the Rust code. If most time is spent in the solver, these profiling methods won't provide too much insight (though in principle if you use a build of Z3 or CVC5 with debug symbols perf would give meaningful results, but interpreting them is another story).

Next, use cargo flamegraph (installed from GitHub): just use cargo flamegraph in place of cargo run --release to run some command, then look at the resulting flamegraph.svg. This shows where time is spent, organized by call stack.

On Linux, you can use perf to get per-function statistics. Perf can do many, many things, but here's a simple way to use it. First, run perf record -s -g -F 500 --call-graph dwarf -- ./target/release/temporal-verifier ... to generate a perf.data file. To process it, you can use perf report to pull up an interactive terminal UI, or run perf script -F +pid,+time > test.perf to generate a file that can be uploaded to profiler.firefox.com and explored with a nice UI.

Documentation

Run cargo doc to generate the low-level API documentation. Currently there isn't much documentation for the language itself, but you can look at the examples under examples/.

Contributing

The temporal-verifier project team welcomes contributions from the community. Before you start working with temporal-verifier, please read our Developer Certificate of Origin. All contributions to this repository must be signed as described on that page. Your signature certifies that you wrote the patch or have the right to pass it on as an open-source patch. For more detailed information, refer to CONTRIBUTING.md.

License

Copyright 2022-2023 VMware, Inc.

SPDX-License-Identifier: BSD-2-Clause

See NOTICE and LICENSE.

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An experimental framework for temporal verification based on first-order linear-time temporal logic. Our goal is to express transition systems in first-order logic and verify temporal correctness properties, including safety and liveness.

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