Coverage-Guided Fuzzing

Coverage-guided fuzzing uses feedback from the program execution to prioritize test cases that reach new code paths. By monitoring which parts of the code have been executed, the fuzzer can focus its efforts on unexplored areas.

This makes it significantly more efficient than random fuzzing. It is the preferred method for testing complex smart contracts with many branches and conditions.

This approach maximizes the probability of finding deep-seated bugs.