ProB Operation Caching ifm2022 Artefact
<p>The artefact accompanies the paper "Operation Caching and State Compression for Model Checking of High-Level Models" to appear in the proceedings of the ifm2022 conference. The artefact enables one to reproduce the results in the paper.</p> <p>The aftefact contains the models and it contains a Makefile which<br> - can download and install ProB<br> - can run the regular benchmarks<br> - can run the TLC benchmarks<br> - can install LTSMin and run the LTSMin benchmarks</p> <p>Before running make bench_prob please remove line 102 (make clean) from the Makefile! This line accidentally erases benchmark results for previously run configurations.</p> <p>The source of the models can be found in the README and in the accompanying ifm2022 paper.</p> <p>The SHA of the archive should be</p> <p>shasum -a 256 ../ifm2022_prob_artifact.tgz </p> <p>8ee2aecc915143e56ac39b501d282d1d8ab099f0b13f9df35304829c0b4f2f32 ../ifm2022_prob_artifact.tgz</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4