Add experimental fuzz test support for Go 1.17

• go

  2,067 119,397 10.0 Go

  The Go programming language

  

There’s some ‘got’ and ‘want’ pointers in https://github.com/golang/go/wiki/TestComments .

But yeah, I didn’t even realize this was a very Google thing :).

• gopter

  3 584 2.7 Go

  GOlang Property TestER

  

Does anyone have experience with Gopter, a Golang Property Based testing library? https://github.com/leanovate/gopter

• WorkOS

  workos.com sponsored

  The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  

• go-fuzz

  10 4,704 5.2 Go

  Randomized testing for Go

Go tests and benchmarks are so easy to write and run: just add TestFoo and BenchmarkFoo functions to a bar_test.go file, and "go test" does the rest. It's currently doable, but it requires a 3rd party library (go-fuzz) and a bit of fluffing around. This will make fuzz testing an equally first-class citizen with standard Go tooling (just add FuzzFoo), and as such we'll probably see a lot more people testing with fuzzing.

I used go-fuzz in GoAWK and it found several bugs (see https://benhoyt.com/writings/goawk/#fuzz-testing), and almost everyone who's done fuzz testing has similar reports. Certainly go-fuzz has found many, many bugs in Go itself: https://github.com/dvyukov/go-fuzz#trophies

For what it's worth, I wrote an article for LWN about the upcoming support for built-in fuzzing in Go: https://lwn.net/Articles/829242/ (of course, if you want full details, read the full proposal).

• trophy-case

  14 392 2.8

  🏆 Collection of bugs uncovered by fuzzing Rust code

  

Fuzzing is still very relevant in Rust. It tends to find panics rather than segfaults, but that's still bugs.

https://github.com/rust-fuzz/trophy-case

• diem

  15 16,683 5.9 Rust

  Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.

  

Just to add, we're a heavy user of fuzzing in Diem[1] and we found a good number of bugs thanks to it : )

https://github.com/diem/diem/

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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