In formal verification, qualitative and quantitative aspects are both relevant, and high-level formalisms are convenient to naturally specify the systems under study and their properties. In the paper associated to this artifact, we present a framework for describing probabilistic models on top of nondeterministic specifications in the highly-expressive language Maude, based on rewriting logic. Quantitative properties can be checked and calculated on them using both probabilistic and statistical methods with external tools like PRISM, Storm, MultiVeSta, and custom implementations as backends. At the same time, the underlying nondeterministic system can be verified using the qualitative model-checking and deductive tools already available in Maude. This is the artifact of the paper "QMaude: quantitative specification and verification in rewriting logic", accepted in the 25th International Symposium on Formal Methods (FM 2023). It consists of a ready-to-use Docker image based on Ubuntu 22.04 with the proposed tool umaudemc and the collection of examples mentioned in the paper. Scripts are provided for reproducing its executions and experiments, and to rebuild the Docker image itself. The user manual of the tool is also included in the bundle. Erratum: the profiling results obtained in the artifact for the pcheck command with Stormpy as backend are not accurate because of an omission in one of the scripts. It can be solved by inserting the line sed -i 's/[stormpy.model_checking(model/[stormpy_wrapper(model/' "$STORMPY" in the /opt/fm2023/section-8-pcheck.sh script.

Research partially supported by the Spanish AEI through project ProCode (PID2019-108528RB-C22/AEI/10.13039/501100011033). Rubén Rubio was partially supported by the Spanish Ministry of Universities through grants FPU17/02319 and EST21/00536.