The complexity of mean payoff games on graphs
Theoretical Computer Science
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Better Quality in Synthesis through Quantitative Objectives
CAV '09 Proceedings of the 21st International Conference on Computer Aided Verification
Performance evaluation and model checking join forces
Communications of the ACM
Symblicit Calculation of Long-Run Averages for Concurrent Probabilistic Systems
QEST '10 Proceedings of the 2010 Seventh International Conference on the Quantitative Evaluation of Systems
Measuring and synthesizing systems in probabilistic environments
CAV'10 Proceedings of the 22nd international conference on Computer Aided Verification
PRISM: a tool for automatic verification of probabilistic systems
TACAS'06 Proceedings of the 12th international conference on Tools and Algorithms for the Construction and Analysis of Systems
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EMSOFT '11 Proceedings of the ninth ACM international conference on Embedded software
Automated model repair for distributed programs
ACM SIGACT News
Controllers with minimal observation power (application to timed systems)
ATVA'12 Proceedings of the 10th international conference on Automated Technology for Verification and Analysis
PRISM-games: a model checker for stochastic multi-player games
TACAS'13 Proceedings of the 19th international conference on Tools and Algorithms for the Construction and Analysis of Systems
GOAL for games, omega-automata, and logics
CAV'13 Proceedings of the 25th international conference on Computer Aided Verification
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We present the tool QUASY, a quantitative synthesis tool. QUASY takes qualitative and quantitative specifications and automatically constructs a system that satisfies the qualitative specification and optimizes the quantitative specification, if such a system exists. The user can choose between a system that satisfies and optimizes the specifications (a) under all possible environment behaviors or (b) under the most-likely environment behaviors given as a probability distribution on the possible input sequences. QUASY solves these two quantitative synthesis problems by reduction to instances of 2-player games and Markov Decision Processes (MDPs) with quantitative winning objectives. QUASY can also be seen as a game solver for quantitative games.Most notable, it can solve lexicographic mean-payoff games with 2 players, MDPs with mean-payoff objectives, and ergodic MDPs with mean-payoff parity objectives.