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Demand-driven inference of loop invariants in a theorem prover K. Rustan M. Leino Microsoft Research, Redmond, WA, USA joint work with Francesco Logozzo.

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Presentation on theme: "Demand-driven inference of loop invariants in a theorem prover K. Rustan M. Leino Microsoft Research, Redmond, WA, USA joint work with Francesco Logozzo."— Presentation transcript:

1 Demand-driven inference of loop invariants in a theorem prover K. Rustan M. Leino Microsoft Research, Redmond, WA, USA joint work with Francesco Logozzo École Polytechnique, Paris, France 3 April 2005 Invited talk, AVIS 2005 Edinburgh, Scotland, UK Spec# joint work with Mike Barnett, Robert DeLine, Manuel Fähndrich, Wolfram Schulte, and Herman Venter

2 Software engineering problem Building and maintaining large systems that are correct

3 Approach Specifications record design decisions –bridge intent and code Tools amplify human effort –manage details –find inconsistencies –ensure quality

4 Spec# Experimental mix of contracts and tool support Aimed at experienced developers who know the high cost of testing and maintenance Superset of C# –non-null types –pre- and postconditions –object invariants Tool support –more type checking –compiler-emitted run-time checks –static program verification C# contracts everywhere type checking static verification into the future run-time checks degree of checking, effort

5 Spec# demo

6 Basic architecture of a static verifier verification condition generator theorem prover verification condition program with specifications correct or list of errors

7 Spec# static verifier architecture V.C. generator automatic theorem prover verification condition Spec# correct or list of errors Spec# compiler MSIL (bytecode) translator Boogie PL inference engine Spec# static program verifier high precision needs invariants computes invariants over-approximates

8 error message Predicate abstraction and refinement C program predicate s boolean program model checker correct concrete trace feasible? abstract trace no yes e.g.: Graf & Saïdi, SLAM, BLAST, … predicate abstraction predicate refinement

9 unsatisfiable satisfiable Lemmas-by-demand theorem proving input formula lemmas propositional formula SAT solver conjunction of input literals consistent with theories? monome no yes e.g.: Verifun, de Moura & Rueß, CVC Lite, Zap, … conflict-clause generation

10 counterexample valid error message Static program verification program loop invariants verification condition theorem prover program trace verification condition generation

11 counterexample valid error message Loop invariants on demand program loop invariants verification condition theorem prover program trace give up? no yes more precise (stronger or context sensitive) inference verification condition generation

12 counterexample valid error message Generating VC once program properties about loop invariants verification condition (VC) theorem prover program trace give up? no yes more precise inference formula

13 source language intermediate language passive command verification condition S,T::=x := E |assert E |S ; T |if E then S else T end |while E do S end

14 source language intermediate language passive command verification condition C,D::=x := E |assert E |assume E |C ; D |C [] D |while * do S end

15 source language intermediate language passive command verification condition Tr[ x := E ]=x := E Tr[ assert E ]=assert E Tr[ S;T ]=Tr[ S ] ; Tr[ T ] Tr[ if E then S else T end ] = ( assume E ; Tr[ S ] [] assume ¬E ; Tr[ T ] ) Tr[ while E do S end ] = while * do assume E ; Tr[ S ] end ; assume ¬E

16 source language intermediate language passive command verification condition Tr[ x := E ]=x := E Tr[ assert E ]=assert E Tr[ S;T ]=Tr[ S ] ; Tr[ T ] Tr[ if E then S else T end ] = ( assume E ; Tr[ S ] [] assume ¬E ; Tr[ T ] ) Tr[ while E do S end ] = while * do assume E ; Tr[ S ] end ; ( assume E ; Tr[ S ] ; assume false [] assume ¬E ) x := * ; assume J

17 source language intermediate language passive command verification condition variation on Single Static Assignment (SSA) form Examples: if name of x before assert E is x0, then translate assert E into: assert E[x0 / x] if name of x before x := E is x0, then make up a new name x1 and translate x := E into: assume x1 = E[x0 / x]

18 source language intermediate language passive command verification condition if name of x is x0 after S and x1 after T, then make up a new name x2 and translate S [] T into: S ; assume x2 = x0 [] T ; assume x2 = x1 if name of x is x0 before while * do S end, then make up a new name x1 and translate the loop into: assume J(x0, x1) where J is an uninterpreted predicate symbol

19 source language intermediate language passive command verification condition wp( assert E, Q )=E Q wp( assume E, Q )=E Q wp( S;T, Q )=wp( S, wp( T, Q )) wp( S [] T, Q )=wp( S, Q ) wp( T, Q )

20 Example finding index of minimum element in an array m := 0; x := 0; while x < N do if * then m := x end; x := x + 1 end; if N > 0 then assert 0 m < N end

21 Example: passive command assume m0 = 0; assume x0 = 0; assume J(m0, m1, x0, x1); (assume x1 < N ; ( assume m2 = m1 [] assume m2 = x1 ); assume x2 = x1 + 1; assume false [] assume ¬ (x1 < N) ); (assume N > 0 ; assert 0 m1 < N []assume ¬ (N > 0) )

22 Example: from monome to lemma M :m0 = 0 x0 = 0 J(m0, m1, x0, x1) ¬ (x1 < N) N > 0 ¬(0 m1 < N) On entry to the loop, the names m0, m1, N are in scope, about which M says: m0 = 0 x0 = 0 N > 0 Thus, assuming the condition: m0 = 0 x0 = 0 N > 0 m0 = m x0 = x on entry to the loop, an abstract interpreter may infer the following loop invariant: 0 = m0 m < N 0 = x0 x N Thus, the abstract interpreter produces the following lemma about J: m0 = 0 x0 = 0 N > 0 J(m0, m1, x0, x1) 0 = m0 m1 < N 0 = x0 x1 N

23 Watch for preliminary release of Spec# next week Summary and conclusions Spec# is a programming system that includes a static program verifier Trend: abstraction refinement on demand Inference of invariants can be done this way, inside theorem prover! Inference can be context sensitive VCs can be generated once Extensions to procedure summaries


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