Fuzz testing

Fuzz testing is a software testing technique that throws random, invalid, or unexpected data at a program to see if it crashes or behaves unexpectedly. It's like throwing a bunch of random junk at a piece of software to try to break it, which is probably more fun than it sounds but still not as fun as writing actual code.

How to use it in a sentence

  • "I ran fuzz testing on the new API endpoints last night and found 17 new ways to crash the server - I guess I'll be spending my weekend fixing those instead of playing Elden Ring like I wanted to."

  • "We need to add fuzz testing to the CI/CD pipeline, otherwise the interns are going to keep introducing bugs that make the app crash every time someone types 'Elon Musk' into the search bar."

If you actually want to learn more...

  • Fuzz Testing - Learn how Google has used fuzz testing to find over 25,000 bugs in their codebase, proving that even tech giants aren't immune to the power of randomness.

  • Intro to - A beginner-friendly introduction to fuzz testing concepts and tools, for those who want to start breaking their own code for fun and profit.

  • Fuzz Testing - A high-level overview of fuzz testing that even a project manager could understand, complete with cute cartoon illustrations.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.

Join the #1 experimentation community

Connect with like-minded product leaders, data scientists, and engineers to share the latest in product experimentation.

Try Statsig Today

Get started for free. Add your whole team!

Why the best build with us

OpenAI OpenAI
Brex Brex
Notion Notion
SoundCloud SoundCloud
Ancestry Ancestry
At OpenAI, we want to iterate as fast as possible. Statsig enables us to grow, scale, and learn efficiently. Integrating experimentation with product analytics and feature flagging has been crucial for quickly understanding and addressing our users' top priorities.
OpenAI
Dave Cummings
Engineering Manager, ChatGPT
Brex's mission is to help businesses move fast. Statsig is now helping our engineers move fast. It has been a game changer to automate the manual lift typical to running experiments and has helped product teams ship the right features to their users quickly.
Brex
Karandeep Anand
President
At Notion, we're continuously learning what our users value and want every team to run experiments to learn more. It’s also critical to maintain speed as a habit. Statsig's experimentation platform enables both this speed and learning for us.
Notion
Mengying Li
Data Science Manager
We evaluated Optimizely, LaunchDarkly, Split, and Eppo, but ultimately selected Statsig due to its comprehensive end-to-end integration. We wanted a complete solution rather than a partial one, including everything from the stats engine to data ingestion.
SoundCloud
Don Browning
SVP, Data & Platform Engineering
We only had so many analysts. Statsig provided the necessary tools to remove the bottleneck. I know that we are able to impact our key business metrics in a positive way with Statsig. We are definitely heading in the right direction with Statsig.
Ancestry
Partha Sarathi
Director of Engineering
We use cookies to ensure you get the best experience on our website.
Privacy Policy