In the chapter on grammars, we have seen how to use grammars for very effective and efficient testing. In this chapter, we refine the previous string-based algorithm into a tree-based algorithm, which is much faster and allows for much more control over the production of fuzz inputs.The algorithm in this chapter serves as a foundation for several more techniques; this chapter thus is a "hub" in the book.Prerequisites You should know how grammar-based fuzzing works, e.g. from the chapter on gr...| www.fuzzingbook.org
In this chapter, we'll start with one of the simplest test generation techniques. The key idea of random text generation, also known as fuzzing, is to feed a string of random characters into a program in the hope to uncover failures.Prerequisites You should know fundamentals of software testing; for instance, from the chapter "Introduction to Software Testing". You should have a decent understanding of Python; for instance, from the Python tutorial.We can make these prerequisites explicit. Fi...| www.fuzzingbook.org