Automated Author Profile

Quatmann, Tim

Current S-Index

2.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

14.4%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Artefact containing model checker Storm binary, as presented in the TACAS 2018 paper 'Multi-Cost Bounded Reachability in MDP'

This dataset relates to the paper "Multi-Cost Bounded Reachability in MDP" which aimed to develop an efficient algorithm for multi-objective model checking problems on Markov decision processes (MDPs) with multiple cost structures.
The dataset includes the Storm model checker binary used to execute examples, and model files and queries. The most recent version of Storm can be found at http://www.stormchecker.org. The virtual machine used with this dataset is available at https://doi.org/10.6084/m9.figshare.5896615.
Scripts are included in .sh (Unix SHell) format, and the benchmark model files contain .txt, .prism, .props, .py, .nm and .prctl formats. Where models have been taken from openly accessible repositories, this information is included in individual README files.
A README is also provided which gives installation instructions as well as guidance to checking the algorithm using the models provided, reproducing results of the published paper, and checking other multi-cost bounded properties via their unfolding.

Authors

  • Hartmanns, Arnd ;
  • Junges, Sebastian ;
  • Joost-Pieter Katoen ;
  • Quatmann, Tim
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.5907349January 2018

Experimental Results for Sound Value Iteration

This file contains the experimental results for the paper
"Sound Value Iteration"
by Tim Quatmann and Joost-Pieter Katoen presented at CAV 2018.

- The directory ./models contains all model files (in the PRISM input language) and the corresponding properties that were considered in the paper.
- The directory ./logs/ contains all obtained logfiles, i.e., the output generated by Storm and Prism, respectively.
- The file ./data.csv lists model checking times and the number of performed iterations as extracted from the logfiles.

Authors

  • Quatmann, Tim ;
  • Joost-Pieter Katoen
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.6139052January 2018

Experimental Results for Sound Value Iteration

This file contains the experimental results for the paper
"Sound Value Iteration"
by Tim Quatmann and Joost-Pieter Katoen presented at CAV 2018.

- The directory ./models contains all model files (in the PRISM input language) and the corresponding properties that were considered in the paper.
- The directory ./logs/ contains all obtained logfiles, i.e., the output generated by Storm and Prism, respectively.
- The file ./data.csv lists model checking times and the number of performed iterations as extracted from the logfiles.

Authors

  • Quatmann, Tim ;
  • Joost-Pieter Katoen
0 Citations0 Mentions15% FAIR0.4 Dataset Index
10.6084/m9.figshare.6139052.v1January 2018

Artefact containing model checker Storm binary, as presented in the TACAS 2018 paper 'Multi-Cost Bounded Reachability in MDP'

This dataset relates to the paper "Multi-Cost Bounded Reachability in MDP" which aimed to develop an efficient algorithm for multi-objective model checking problems on Markov decision processes (MDPs) with multiple cost structures.
The dataset includes the Storm model checker binary used to execute examples, and model files and queries. The most recent version of Storm can be found at http://www.stormchecker.org. The virtual machine used with this dataset is available at https://doi.org/10.6084/m9.figshare.5896615.
Scripts are included in .sh (Unix SHell) format, and the benchmark model files contain .txt, .prism, .props, .py, .nm and .prctl formats. Where models have been taken from openly accessible repositories, this information is included in individual README files.
A README is also provided which gives installation instructions as well as guidance to checking the algorithm using the models provided, reproducing results of the published paper, and checking other multi-cost bounded properties via their unfolding.

Authors

  • Hartmanns, Arnd ;
  • Junges, Sebastian ;
  • Joost-Pieter Katoen ;
  • Quatmann, Tim
1 Citation0 Mentions13% FAIR0.7 Dataset Index
10.6084/m9.figshare.5907349.v1January 2018