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Automata-Driven Partial Order Reduction and Guided Search for LTL Model Checking

Talkat VMCAI 2022 · 2022-01-16..01-18· [concurrency]
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name:Jiri Srba
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Paper implements automata-driven stubborn sets and a heuristically guided search inside TAPAAL 3.9, reusing progression formulas from the Büchi automaton to both prune interleavings and prioritize successors. The reduction enforces four preservation rules (com, r, key, safe) so LTL counterexamples are preserved; the safe rule blocks actions that would “make progression formulas more true.” Evaluation on the Model Checking Contest 2021 dataset (~1,200 Petri nets × 32 formulas ≈ 38,000 instances) shows a 6.5 percentage-point lead over IGS (94.3% vs 87.8%, ≈2,500 extra queries) and a 1.1 point gain attributable to the partial-order reduction alone.

AI-written summary · about

  1. 0:00Intro
  2. 0:35The Problem
  3. 1:43Outline
  4. 3:17Guided Search
  5. 6:35Partial Order Reduction
  6. 7:48LTL Preserving Techniques
  7. 9:21StopSet Method
  8. 13:22Safe Actions
  9. 14:27Safe Actions Example
  10. 20:45Conclusion
  11. 21:20Questions
  12. 22:14Impact
  13. 23:18Question
  14. 27:51Extra Question
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