We present a new release of PRISM-games, a tool for verification and strategy synthesis for stochastic games. PRISM-games 2.0 significantly extends its functionality by supporting, for the first time: (i) long-run average (mean-payoff) and ratio reward objectives, e.g., to express energy consumption per time unit; (ii) strategy synthesis and Pareto set computation for multi-objective properties; and (iii) compositional strategy synthesis, where strategies for a stochastic game modelled as a composition of subsystems are synthesised from strategies for individual components using assume-guarantee contracts on component interfaces. We demonstrate the usefulness of the new tool on four case studies from autonomous transport and energy management.
|Name||Lecture Notes in Computer Science|
|Conference||22nd International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS 16)|
|Period||2/04/16 → 8/04/16|