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Titlebook: Automated Technology for Verification and Analysis; 13th International S Bernd Finkbeiner,Geguang Pu,Lijun Zhang Conference proceedings 201

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Probabilistic Programming: A True Verification Challenge,for approximate computing, e.g., by specifying reliability requirements for programs that allocate data in unreliable memory and use unreliable operations in hardware (so as to save energy dissipation) [.]. Other applications include [.] scientific modeling, information retrieval, bio–informatics, e
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Explicit Model Checking of Very Large MDP Using Partitioning and Secondary Storage,The technique has been implemented within the .. We evaluate its performance on several benchmark models of up to 3.5 billion states. In the analysis of time-bounded properties on real-time models, our method neutralises the state space explosion induced by the time bound in its entirety.
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Spanning the Spectrum from Safety to Liveness,ility and measures the probability of a random word not in . to have a bad prefix. We study the problem of finding the safety level of languages given by means of deterministic and nondeterministic automata as well as LTL formulas, and the problem of deciding their membership in specific classes alo
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Automated Technology for Verification and Analysis13th International S
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Marjan Khatir,Seyed Mahmood Hejazifor approximate computing, e.g., by specifying reliability requirements for programs that allocate data in unreliable memory and use unreliable operations in hardware (so as to save energy dissipation) [.]. Other applications include [.] scientific modeling, information retrieval, bio–informatics, e
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Giuseppe Giordan,Siniša Zrinščakong the way we will see applications in program verification, models of instruction set architectures including the JVM, and security and information flow. I then list some reasons this project has been successful. The paper also serves as an annotated bibliography of the key stepping stones in the
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