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Replicating sc Restart with Prolonged Retrials: An Experimental Report.

, и . TACAS (2), том 12652 из Lecture Notes in Computer Science, стр. 373-380. Springer, (2021)

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The Modest State of Learning, Sampling, and Verifying Strategies., и . ISoLA (3), том 13703 из Lecture Notes in Computer Science, стр. 406-432. Springer, (2022)Learning optimal decisions for stochastic hybrid systems., , и . MEMOCODE, стр. 44-55. ACM, (2021)Symblicit exploration and elimination for probabilistic model checking., и . SAC, стр. 1798-1806. ACM, (2021)Flexible support for time and costs in scenario-aware dataflow., , и . EMSOFT, стр. 3:1-3:10. ACM, (2016)Replicating sc Restart with Prolonged Retrials: An Experimental Report., и . TACAS (2), том 12652 из Lecture Notes in Computer Science, стр. 373-380. Springer, (2021)The Quantitative Verification Benchmark Set., , , , и . TACAS (1), том 11427 из Lecture Notes in Computer Science, стр. 344-350. Springer, (2019)Probabilistic Verification for Reliability of a Two-by-Two Network-on-Chip System., , , , , , и . FMICS, том 12863 из Lecture Notes in Computer Science, стр. 232-248. Springer, (2021)The 2019 Comparison of Tools for the Analysis of Quantitative Formal Models - (QComp 2019 Competition Report)., , , , , , , , , и . TACAS (3), том 11429 из Lecture Notes in Computer Science, стр. 69-92. Springer, (2019)Correct Probabilistic Model Checking with Floating-Point Arithmetic.. TACAS (2), том 13244 из Lecture Notes in Computer Science, стр. 41-59. Springer, (2022)Balancing Wind and Batteries: Towards Predictive Verification of Smart Grids., , , и . NFM, том 12673 из Lecture Notes in Computer Science, стр. 1-18. Springer, (2021)