Symbolic binary execution is a dynamic analysis method which explores program paths to generate test cases for compiled code. Throughout execution, a program is evaluated with a bit-vector theorem prover and a runtime interpreter as a mix of symbolic expressions and concrete values. Left untended, these symbolic expressions grow to negatively impact interpretation performance. We describe an expression reduction system which recovers sound, context-insensitive expression reduction rules at run time from programs during symbolic evaluation. These rules are further refined offline into general rules which match larger classes of expressions. We demonstrate that our optimizer significantly reduces the number of theorem solver queries and solver time on hundreds of commodity programs compared to a default ad-hoc optimizer from a popular symbolic interpreter.
展开▼
