Published July 28, 2023 | Version 1.0.0

Monitoring Hyperproperties With Prefix Transducers

  • 1. ISTA

Description

This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties With Prefix Transducers accepted at RV'23, and give further pointers to implementation of prefix transducers.

It has two parts: a pre-compiled docker image and sources that one can use to compile (locally or in docker) the software and run the experiments.

 

Using the pre-compiled docker image

To use the pre-compiled docker image, use `docker load` and then `docker run` to load and run the image:

```

docker load < rv23-experiments.tar.gz
docker run -ti -v "$(pwd)/results":/opt/rv23-experiments/results rv23-experiments

```

Once in the docker container, follow the README.


Note that the image was build for x86 architectures. If your architecture is different, you either need to specify `--platform` when running/creating the container to emulate your architecture or build the image yourself. Note that emulating the architecture brings non-negligible overhead and so building the image may be a better option.

 

Building the artifact

To build the artifact, unpack the sources and follow the README.

The newest sources of this artifact can be found at https://github.com/ista-vamos/rv23-experiments.

 

Modifying the artifact

The source code of monitors is in `mpt-monitors/src` and `mpt-monitors/inputs`. It has been generated from a big part with our compiler for MPT that can be found at https://github.com/ista-vamos/vamos-mpt. However, at the time of doing the implementation, the compiler was not fully functioning and therefore it provided just a "skeleton" that we then manually modified. We also tried to fill in some comments so that the code is more readable if you want to dig into that.

Files

rv23-experiments.zip

Files (972.6 MB)

Name Size
md5:35522858d3de0ab9747a91ecf76a641c
972.6 MB Download
md5:97c56f97b4b3595fa71ba34eb7af93e0
66.3 kB Preview Download

Additional details

Funding

European Commission
VAMOS - Vigilant Algorithmic Monitoring of Software 101020093