The use of stochastic models in computer science is wide spread for instance in performance
modeling analysis of randomized algorithms and communication protocols which form the
structure of the Internet. Stochastic model checking is an important field in stochastic
analysis. It has rapidly gained popularity due to its powerful and systematic methods to model
and analyze stochastic systems. This book presents 7 tutorial lectures given by leading
scientists at the ROCKS Autumn School on Stochastic Model Checking held in Vahrn Italy in
October 2012. The 7 chapters of this tutorial went through two rounds of reviewing and
improvement and are summarizing the state-of-the-art in the field centered around the tree
areas of stochastic models abstraction techniques and stochastic model checking.
