|   | CMU-CS-04-100 Computer Science Department
 School of Computer Science, Carnegie Mellon University
 
    
     
 CMU-CS-04-100
 
Abstraction-based Satisfiability Solvingof Presbuerger Arithmetic
 
Daniel Kroening, Joël Ouaknine, Sanjit Seshia, Ofer Strichman 
January 2004  
CMU-CS-04-100.psCMU-CS-04-100.pdf
 Keywords: Presburger arithmetic, Boolean satisfiability, 
theorem proving, abstraction
 We present a new abstraction-based framework for deciding 
satisfuability of quantifier-free Presburger arithmetic formulas. 
Given a Presburger formula ø, our algorithm invokes a SAT solver 
to produce proofs of unsatisfiability of approximations of ø.
These proofs are in turn used to generate abstractions of ø as 
inputs to a theorem prover. The SAT-encodings of the approximations of 
ø are obtained by instantiating the variables of the formula over finite
domains. The satisfying integer assignments provided by the theorem
prover are then used to selectively increase domain sizes and generate 
fresh SAT-encodings of ø. The efficiency of this approach derives 
from the ability of SAT solvers to extract small unsatisfiable cores, 
leading to small abstracted formulas. We present experimental 
results which suggest that our algorithm is considerably more 
efficient than directly invoking the theorem prover on the 
original formula.
 
16 pages 
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