Counterexample-guided Precondition Inference
Nassim Seghir ( University of Oxford )
The precondition for an assertion inside a procedure is useful for understanding, verifying and debugging programs. As the procedure might be used in multiple calling-contexts within a program, the precondition should be sufficiently general to enable re-use. We present an ex- tension of counterexample-guided abstraction refinement (CEGAR) for automated precondition inference. Starting with an over-approximation of both the set of safe and unsafe states, we iteratively refine them until they become disjoint. The resulting precondition is then necessary and sufficient for the validity of the assertion, which prevents false alarms. We have implemented our approach in a tool called P-Gen. We present experimental results on string and array-manipulating programs.