Learn how Fuzz Driven Development (FDD) transforms software testing by assisting programmers and testers in overcoming prejudices for improved code quality, security, and performance.
This blog explores the fascinating world of fuzz testing methodologies and frameworks. We delve into stateless and stateful fuzzing. Bounded Model Checking (BMC) is introduced as a technique to verify systems against predefined specifications. Additionally, we discuss the essence of End-to-End (E2E) testing, combining structured scenarios with fuzz testing's unpredictability. Lastly, we compare renowned fuzzing tools, Echidna and Foundry, highlighting their unique features and differences.
Fuzz testing, or fuzzing, is a technique used to improve the security of software, including smart contracts in Solidity. It involves supplying random or unexpected data as inputs to a system in an attempt to break it and uncover vulnerabilities that manual testing might miss. Fuzzers generate a set of inputs for testing scenarios that may have been missed during unit testing, helping to identify bugs and potential security issues.