Automated Author ProfileJunges, Sebastian
Junges, Sebastian
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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