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Titlebook: Computer Aided Verification; 29th International C Rupak Majumdar,Viktor Kunčak Conference proceedings 2017 Springer International Publishin

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Markov Automata with Multiple Objectivesxisting approaches for classical Markov decision processes. The main challenge is to treat policies exploiting state residence times, even for .timed objectives. Experimental results show the feasibility and scalability of our approach.
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Synthesis with Abstract Examplesn abstract example, or provide a counterexample in which case the synthesizer will explore a different program. When the user accepts a set of abstract examples that covers the entire input space, the synthesis process is completed..We have implemented our approach and we experimentally show that ou
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Systems Biology and Computational Proteomicstheories, such as linear arithmetic. Therefore, these models extend their classic counterparts to operate over infinite alphabets, such as the set of rational numbers. Due to their expressiveness, symbolic automata and transducers have been used to verify functional programs operating over lists and
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