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sav07_lecture_3_skeleton [2007/03/21 10:17]
vkuncak
sav07_lecture_3_skeleton [2007/03/21 10:58]
vkuncak
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 This idea is important in static analysis. This idea is important in static analysis.
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 ==== Symbolic execution ==== ==== Symbolic execution ====
  
-Symbolic execution converts programs into formulas by going forward. ​ It is therefore somewhat analogous to the way an [[interpreter]] for the language would work.  ​It is based on the notion of strongest ​postcondition.+Symbolic execution converts programs into formulas by going forward. ​ It is therefore somewhat analogous to the way an [[interpreter]] for the language would work.  ​ 
 + 
 +Avoid renaming all the time. 
 + 
 +  SE(F,k, c1; c2) = SE(F & R(c1), k+1, c2)             ​(update formula) 
 + 
 +  SE(F,k,(c1 [] c2); c2) = SE(F, k, c1) | SE(F,​k,​c2) ​  ​(explore both branches) 
 + 
 +Note: how many branches do we get? 
 + 
 +Strongest ​postcondition
 +\begin{equation*} 
 +  sp(P,r) = \{ s_2 \mid \exists s_1.\ s_1 \in P \land (s_1,s_2) \in r \} 
 +\end{equation*} 
 +Like composition of a set with a relation. ​ It's called ''​relational image''​ of set $P$ under relation $r$.
  
 +Note: when proving our verification condition, instead of proving that semantics of relation implies error=false,​ it's same as proving that the formula for set sp(U,r) implies error=false,​ where U is the universal relation.
  
  
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 While symbolic execution computes formula by going forward along the program syntax tree, weakest precondition computes formula by going backward. While symbolic execution computes formula by going forward along the program syntax tree, weakest precondition computes formula by going backward.
 +
 +  wp(Q, x=t) =
 +  wp(Q, assume F) =
 +  wp(Q, assert F) =
 +  wp(Q, c1 [] c2) = 
 +  wp(Q, c1 ; c2) = 
  
 ==== Inferring Loop Invariants ==== ==== Inferring Loop Invariants ====
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 Alternative:​ Alternative:​
   * decide that you will only loop for formulas of restricted form, as in abstract interpretation and data flow analysis (next week)   * decide that you will only loop for formulas of restricted form, as in abstract interpretation and data flow analysis (next week)
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 Suppose that we obtain (one or more) verification conditions of the form Suppose that we obtain (one or more) verification conditions of the form
 +\begin{equation*}
 + F\ \rightarrow\ (\mbox{error}=\mbox{false})
 +\end{equation*}
 +
 +whose validity we need to prove. ​ We here assume that F contains only 
 +
 +Note: we can check satisfiability of $F\ \land\ (\mbox{error}=\mbox{true})$.
  
 ==== Quantifier Presburger arithmetic ==== ==== Quantifier Presburger arithmetic ====
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 Proof: small model theorem. Proof: small model theorem.
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 Next: reduce to integer linear programming:​ Next: reduce to integer linear programming:​
 \begin{equation*} \begin{equation*}
-  ​Ax = b, x \geq 0+  ​A\vec x \vec b, \qquad \vec x \geq \vec 0
 \end{equation*} \end{equation*}
 where $A \in {\cal Z}^{m,n}$ and $x \in {\cal Z}^n$. where $A \in {\cal Z}^{m,n}$ and $x \in {\cal Z}^n$.
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 Moreover, one can improve these bounds. ​ One tool based on these ideas is [[http://​www.cs.cmu.edu/​~uclid/​|UCLID]]. Moreover, one can improve these bounds. ​ One tool based on these ideas is [[http://​www.cs.cmu.edu/​~uclid/​|UCLID]].
  
-Alternative:​ enumerate disjuncts of DNF on demand, each disjunct is a conjunction,​ then use ILP techniques (often first solve the underlying linear programming problem over reals).  ​Most SMT tools are based on this idea (along with Nelson-Oppen combination:​ next class).+Alternative:​ enumerate disjuncts of DNF on demand, each disjunct is a conjunction,​ then use ILP techniques (often first solve the underlying linear programming problem over reals).  ​Many SMT tools are based on this idea (along with Nelson-Oppen combination:​ next class).
   * [[http://​www.cs.nyu.edu/​acsys/​cvc3/​download.html|CVC3]] (successor of CVC Lite)   * [[http://​www.cs.nyu.edu/​acsys/​cvc3/​download.html|CVC3]] (successor of CVC Lite)
   * [[http://​combination.cs.uiowa.edu/​smtlib/​|SMT-LIB]] Standard for formulas, competition   * [[http://​combination.cs.uiowa.edu/​smtlib/​|SMT-LIB]] Standard for formulas, competition