Fuzzing or Testing with Garbage Data
summary
Describes using fuzzing to test a search query service with 25+ parameters (from input text to user preferences) to improve stability. Explains applying fuzzing (feeding invalid, unexpected, or random data) instead of only human-generated test queries to uncover bugs in the backend search pipeline.
AI-written summary · about
chapters (12)
- 0:00Introduction
- 2:16What is fuzzing
- 4:43Real-world fuzzing example
- 7:12LibFuzzer overview
- 9:46Finding bugs
- 12:41How fuzzing works
- 17:23Customizing fuzzing
- 21:43Test corpus
- 23:51Results in 2GIS search
- 27:02Future plans
- 28:29Fuzzing in industry
- 29:56Q&A








