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Satisfiability Checking for Mission-Time LTL

机译:任务时间LTL的满意度检查

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Mission-time LTL (MLTL) is a bounded variant of MTL over naturals designed to generically specify requirements for mission-based system operation common to aircraft, spacecraft, vehicles, and robots. Despite the utility of MLTL as a specification logic, major gaps remain in analyzing MLTL, e.g., for specification debugging or model checking, centering on the absence of any complete MLTL satisfiability checker. We prove that the MLTL satisfiability checking problem is NEXPTIME-complete and that satisfiability checking MLTLo, the variant of MLTL where all intervals start at 0, is PSPACE-complete. We introduce translations for MLTL-to-LTL, MLTL-to-LTL/, MLTL-to-SMV, and MLTL-to-SMT, creating four options for MLTL satisfiability checking. Our extensive experimental evaluation shows that the MLTL-to-SMT transition with the Z3 SMT solver offers the most scalable performance.
机译:任务时间LTL(MLTL)是MTL的有界变体,其目的是针对飞机,航天器,飞行器和机器人通用的基于任务的系统操作规定要求。尽管将MLTL用作规范逻辑,但以缺少任何完整的MLTL可满足性检查器为中心,在分析MLTL方面仍存在重大差距,例如,用于规范调试或模型检查。我们证明MLTL可满足性检查问题是NEXPTIME完全的,而可满足性检查MLTLo(所有间隔都从0开始的MLTL的变体)是PSPACE完全的。我们介绍了MLTL到LTL,MLTL到LTL /,MLTL到SMV和MLTL到SMT的翻译,为MLTL满意度检查创建了四个选项。我们的广泛实验评估表明,使用Z3 SMT求解器的MLTL到SMT过渡提供了最大的可扩展性能。

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