Reproduction Package for “A Unifying Approach for Control-Flow-Based Loop Abstraction” This reproduction package provides a virtual machine to reproduce the results from our our SEFM 2022 publication A Unifying Approach for Control-Flow-Based Loop Abstraction. Hardware Requirements This artifact VM requires 18 GB of RAM, 2 CPU cores and 10 GB of disk space. The README.md details how resource limits for the experiments can be further reduced, at the risk of not being able to reproduce the results exactly. Usage Start the VM and log with the user account: VM username: vagrant VM password: vagrant Change directory into ~/loop-abstraction, where further instructions are provided in the file README.md. This folder is a copy of the rep...
This is the artifact accompanying the OOPSLA 2020 paper "Igloo: Soundly Linking Compositional Refine...
Source code and instructions to run software is zipped into dvh-asplos-ae.tar.gz. Please see README....
This is an software artifact to the paper VAMOS: Middleware for Best-Effort Third-Party Monitoring b...
Reproduction Package for “Cooperation between Automatic and Interactive Software Verifiers” This re...
This package is a virtual machine (VM) to execute the starMC programs and benchmark. The system setu...
AbstractTo drastically reduce the commissioning time of a machine tool innovative companies rely mor...
This replication package is a virtual machine (VM) to execute the CoVeriTeam programs described in a...
We propose a flexible Multi-layer Virtual Machine (MVM) design intended to improve efficiencies in d...
<p>Virtual Reference Environment (VRE) for the project:<br> Intermittent Control in Man and Machine<...
The Virtual Machine (VM) used for the Artifact Evaluation at the 33rd International Conference on Co...
This replication package supports reproducing the claims of the SEFM 2020 submission "D. Beyer, M.-C...
The files attached contain the replication package for the experiments presented in the article "Und...
Abstract—Recent advances show that it is possible to reuse the legacy binary code to bridge the sema...
We provided the implementation of our proposed approach using a virtual machine (Artifacts-VM). The ...
This artifact is packaged as a virtual machine, that can be loaded with VirtualBox. The artifact is...
This is the artifact accompanying the OOPSLA 2020 paper "Igloo: Soundly Linking Compositional Refine...
Source code and instructions to run software is zipped into dvh-asplos-ae.tar.gz. Please see README....
This is an software artifact to the paper VAMOS: Middleware for Best-Effort Third-Party Monitoring b...
Reproduction Package for “Cooperation between Automatic and Interactive Software Verifiers” This re...
This package is a virtual machine (VM) to execute the starMC programs and benchmark. The system setu...
AbstractTo drastically reduce the commissioning time of a machine tool innovative companies rely mor...
This replication package is a virtual machine (VM) to execute the CoVeriTeam programs described in a...
We propose a flexible Multi-layer Virtual Machine (MVM) design intended to improve efficiencies in d...
<p>Virtual Reference Environment (VRE) for the project:<br> Intermittent Control in Man and Machine<...
The Virtual Machine (VM) used for the Artifact Evaluation at the 33rd International Conference on Co...
This replication package supports reproducing the claims of the SEFM 2020 submission "D. Beyer, M.-C...
The files attached contain the replication package for the experiments presented in the article "Und...
Abstract—Recent advances show that it is possible to reuse the legacy binary code to bridge the sema...
We provided the implementation of our proposed approach using a virtual machine (Artifacts-VM). The ...
This artifact is packaged as a virtual machine, that can be loaded with VirtualBox. The artifact is...
This is the artifact accompanying the OOPSLA 2020 paper "Igloo: Soundly Linking Compositional Refine...
Source code and instructions to run software is zipped into dvh-asplos-ae.tar.gz. Please see README....
This is an software artifact to the paper VAMOS: Middleware for Best-Effort Third-Party Monitoring b...