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{:.alert .alert-info} If you want to cite Storm, please use the most recent paper in this category.
{% bibliography --group_by year --query @*[category=tool] %}
{% bibliography --group_by year --query @*[category=competition] %}
{:.alert .alert-info} The publications in this category present functionality from which a substantial part is available in Storm's release.
{% bibliography --group_by year --query @*[category=feature] %}
- COOL-MC: Combining single-agent and multi-agent reinforcement learning with model checking
- jajapy: Baum-Welch algorithm on various kinds of Markov models
- Momba: Python framework for dealing with quantitative models centered around the JANI-model interchange format
- Prophesy: Parameter synthesis in Markov models
- PAYNT: Automated synthesis of probabilistic programs
- QMaude: Quantitative specification and verification in Maude
- SAFEST: Dynamic fault-tree analysis tool
- STAMINA: State-space truncation tool that can analyze infinite-sized models
- TEMPEST: Synthesis tool for reactive systems and shields in probabilistic environments
{:.alert .alert-info} The publications in this category present tools, algorithms and case studies that use Storm as a backend.
{% bibliography --group_by year --query @*[category=using] %}
{:.alert .alert-danger} If there is a publication missing in some of the lists above, feel free to [contact us]({{ '/about.html#people' | relative_url }}){:.alert-link}.