l14 - CS 267 Automated Verification Lecture 14 Infinite...

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Unformatted text preview: CS 267: Automated Verification Lecture 14: Infinite State Model Checking, Arithmetic Constraints, Action Language Verifier Instructor: Tevfik Bultan Model Checking View • Every reactive system is represented as a transition system: – S : The set of states – I ⊆ S : The set of initial states – R ⊆ S × S : The transition relation Model Checking View • Properties of reactive systems are expressed in temporal logics • Invariant( p ) : is true in a state if property p is true in every state reachable from that state – Also known as AG • Eventually( p ) : is true in a state if property p is true at some state on every execution path from that state – Also known as AF Model Checking Given a program and a temporal property p : • Either show that all the initial states satisfy the temporal property p – set of initial states ⊆ truth set of p • Or find an initial state which does not satisfy the property p – a state ∈ set of initial states ∩ truth set of ¬ p • • • • • • Invariant( Invariant( p ) ¬ p Initial Initial states states initial states that initial states that violate Invariant( violate Invariant( p ) Backward Backward fixpoint fixpoint Forward Forward fixpoint fixpoint Initial Initial states states • • • • • • states that can reach states that can reach ¬ p i.e., states that violate Invariant( i.e., states that violate Invariant( p ) reachable states reachable states of the system of the system ¬ p backwardImage backwardImage of of ¬ p reachable states reachable states that violate that violate p forward image forward image of initial states of initial states Temporal Properties ≡ Fixpoints Symbolic Model Checking • Represent sets of states and the transition relation as Boolean logic formulas • Forward and backward fixpoints can be computed by iteratively manipulating these formulas – Forward, backward image: Existential variable elimination – Conjunction (intersection), disjunction (union) and negation (set difference), and equivalence check • Use an efficient data structure for manipulation of Boolean logic formulas – BDDs Symbolic Model Checking • What do you need to compute fixpoints? Symbolic Conjunction(Symbolic,Symbolic) Symbolic Disjunction(Symbolic,Symbolic) Symbolic Negation(Symbolic) Boolean EquivalenceCheck(Symbolic,Symbolic) Symbolic Precondition(Symbolic) • Precondition (i.e., EX) computation is handled by: – variable renaming, followed by conjunction, followed by existential variable elimination • BDDs support all these operations! Infinite State Model Checking • Use a symbolic representation that is capable of representing infinite sets and supports the following functionality: Symbolic Conjunction(Symbolic,Symbolic) Symbolic Disjunction(Symbolic,Symbolic) Symbolic Negation(Symbolic) Boolean EquivalenceCheck(Symbolic,Symbolic) Symbolic Precondition(Symbolic) • Compute fixpoints using the infinite state symbolic representation – Warning: Fixpoints are not guaranteed to converge! Constraint-Based Verification...
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l14 - CS 267 Automated Verification Lecture 14 Infinite...

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