Satisfiability Checking for Mission-Time LTL

Date
2019-07-12
Authors
Li, Jianwen
Vardi, Moshe
Rozier, Kristin Yvonne
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Altmetrics
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Research Projects
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Aerospace Engineering
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Computer Science
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Mathematics
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Abstract

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 MLTL0 , the variant of MLTL where all intervals start at 0, is PSPACE-complete. We introduce translations for MLTL-to-LTL, MLTL-to-LTLf , 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.

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<p>This proceeding is published as Li, Jianwen, Moshe Y. Vardi, and Kristin Y. Rozier. "Satisfiability checking for mission-time LTL." In: <em>Computer Aided Verification 31st International Conference, CAV 2019, New York City, NY, USA, July 15-18, 2019, Proceedings, Part II</em>. Isil Dillig and Serdar Tasiran, editors. <em>Lecture Notes in Computer Science </em>11562 (2019): 3-22. DOI: <a href="https://doi.org/10.1007/978-3-030-25543-5_1" target="_blank">10.1007/978-3-030-25543-5_1</a>. Posted with permission. </p>
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