We present PASS, a tool that analyzes concurrent probabilistic programs, which map to potentially infinite Markov decision processes. PASS is based on predicate abstraction and abstraction refinement and scales to programs far beyond the reach of numerical methods which operate on the full state space of the model. The computational engines we use are SMT solvers to compute finite abstractions, numerical methods to compute probabilities and interpolation as part of abstraction refinement. sf PASS has been successfully applied to network protocols and serves as a test platform for different refinement methods.
|Title of host publication||Tools and Algorithms for the Construction and Analysis of Systems, 16th International Conference, TACAS 2010, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-28, 2010. Proceedings|
|Number of pages||5|
|Publication status||Published - 2010|