A Stochastic Extension of Stateflow
Stefan Kaalen, Anton Hampus, Mattias Nyberg, Olle Mattsson · 2022
Although commonly used in industry, a major drawback of Stateflow is that it lacks support for stochastic properties; properties that are often needed to build accurate models of real-world systems. In order to solve this problem, as the first contribution, Stochastic Stateflow (SSF) is presented as a stochastic extension of a subset of Stateflow models. As the second contribution, the tool SMP-tool is updated with support for SSF models specified in Stateflow. Finally, as the third contribution, an industrial case study is presented.