This upload is a docker image containing the artifact accompanying our OOPSLA-2023 paper "Inference of Resource Management Specifications". To run the image, 0.) Install Docker following the directions at [https://www.docker.com/get-started] for your OS, if it is not already installed. We have tested the artifact with Docker Desktop on MacOS, but it should work for other operating systems. For Java experiments: Unzip the provided Docker image. `gunzip -c path/to/resource_leak_inference.tar.gz > resource_leak_inference.tar` Load it into Docker. `docker load < resource_leak_inference.tar` Run the image. This should open a bash shell, at the home directory of user `oopsla`. `docker run -it nargeshdb/resource_leak_inference:latest` ...
This artifact accompanies the CAV 2022 paper with the same title. The artifact contains a docker fil...
This artifact comprises the Docker image with the WiSE and PyWiSE prototypes presented in the paper ...
This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties With Prefix Tr...
This upload is a docker image containing the artifact accompanying our OOPSLA-2023 paper "Inference ...
This upload is a docker image containing the artifact accompanying our ESEC/FSE'21 paper "Lightweigh...
Evaluated artifacts produced for the paper "Regulator: dynamic analysis to detect ReDoS" published i...
# This upload is a docker image containing the artifact and scripts to rerun experiments. ## Contai...
These are Docker images that contain the codebase and evaluation scripts for our OOPSLA 2023 paper "...
Artifact accompanying the paper Compiling Universal Probabilistic Programming Languages with Efficie...
This is the archive of the full Docker image used for the artifact of the ICSE 2023 paper "On the Re...
Artifact for the paper "Exact Recursive Probabilistic Programming". After downloading, run with su...
Getting Started The artifact comprises a Docker image mlkit-pldi23-parreg.tar.gz. Depending on your...
This upload is a zip file containing a Dockerfile and supporting Python scripts and pre-trained mode...
This document is the description of how to download and use the docker image that is the artifact th...
Getting Started The artifact comprises a Docker image mlkit-pldi23-parreg.tar.gz. Depending on your...
This artifact accompanies the CAV 2022 paper with the same title. The artifact contains a docker fil...
This artifact comprises the Docker image with the WiSE and PyWiSE prototypes presented in the paper ...
This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties With Prefix Tr...
This upload is a docker image containing the artifact accompanying our OOPSLA-2023 paper "Inference ...
This upload is a docker image containing the artifact accompanying our ESEC/FSE'21 paper "Lightweigh...
Evaluated artifacts produced for the paper "Regulator: dynamic analysis to detect ReDoS" published i...
# This upload is a docker image containing the artifact and scripts to rerun experiments. ## Contai...
These are Docker images that contain the codebase and evaluation scripts for our OOPSLA 2023 paper "...
Artifact accompanying the paper Compiling Universal Probabilistic Programming Languages with Efficie...
This is the archive of the full Docker image used for the artifact of the ICSE 2023 paper "On the Re...
Artifact for the paper "Exact Recursive Probabilistic Programming". After downloading, run with su...
Getting Started The artifact comprises a Docker image mlkit-pldi23-parreg.tar.gz. Depending on your...
This upload is a zip file containing a Dockerfile and supporting Python scripts and pre-trained mode...
This document is the description of how to download and use the docker image that is the artifact th...
Getting Started The artifact comprises a Docker image mlkit-pldi23-parreg.tar.gz. Depending on your...
This artifact accompanies the CAV 2022 paper with the same title. The artifact contains a docker fil...
This artifact comprises the Docker image with the WiSE and PyWiSE prototypes presented in the paper ...
This artifact aims to reproduce experiments from the paper Monitoring Hyperproperties With Prefix Tr...