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Typically, dynamic-analysis techniques operate on a small subset of all possible program behaviors, which limits their effectiveness and the representativeness of the computed results. To address this issue, a new paradigm is emerging: execution hijacking - techniques that explore a larger set of program behaviors by forcing executions along specific paths. Although hijacked executions are infeasible for the given inputs, they can still produce feasible behaviors that could be observed under other inputs. In such cases, execution hijacking can improve the effectiveness of dynamic analysis without requiring the (expensive) generation of additional inputs.
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