Efficient state merging in symbolic execution
Volodymyr Kuznetsov, Johannes Kinder, Ștefan Bucur, George Candea
Abstract
Volodymyr Kuznetsov, Johannes Kinder, Ștefan Bucur, George Candea
Abstract
Symbolic execution has proven to be a practical technique for building automated test case generation and bug finding tools. Nevertheless, due to state explosion, these tools still struggle to achieve scalability. Given a program, one way to reduce the number of states that the tools need to explore is to merge states obtained on different paths. Alas, doing so increases the size of symbolic path conditions (thereby stressing the underlying constraint solver) and interferes with optimizations of the exploration process (also referred to as search strategies). The net effect is that state merging may actually lower performance rather than increase it.
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Symbolic execution has proven to be a practical technique for building automated test case generation and bug finding tools. Nevertheless, due to state explosion, these tools still struggle to achieve scalability. Given a program, one way to reduce the number of states that the tools need to explore is to merge states obtained on different paths. Alas, doing so increases the size of symbolic path conditions (thereby stressing the underlying constraint solver) and interferes with optimizations of the exploration process (also referred to as search strategies). The net effect is that state merging may actually lower performance rather than increase it.
Key concepts: Symbolic execution, Computer science, Scalability, Merge (version control), Concolic testing, State (computer science), Solver, Path (computing)