Problem
Research questions and friction points this paper is trying to address.
statistical model checking
formal foundations
SCAN
The SCAN Statistical Model Checker
🤖 AI Summary
Existing statistical model checking methods suffer from insufficient theoretical foundations and limited verification reliability. This work establishes the first comprehensive probabilistic-logical formal framework for the SCAN statistical model checker, integrating probabilistic model checking, statistical hypothesis testing, and formal verification techniques to rigorously characterize the property verification process of complex systems. By unifying these complementary approaches within a sound theoretical basis, the proposed framework not only addresses the foundational gaps previously present in SCAN but also significantly enhances its rigor and applicability. Consequently, it provides a robust guarantee for the reliability of SCAN when applied to the verification of real-world systems.
📝 Abstract
This paper lays out the formal foundations upon which the SCAN statistical model checker is built.
Innovation
Methods, ideas, or system contributions that make the work stand out.
statistical model checking
formal foundations
SCAN
stochastic systems
verification
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