prusti-dev VS tarpaulin

> The overall goal would be to figure out classical error conditions like nill pointers deference.

> If I can figure out if a pointer will be nil in some execution branch, there is no reason why a computer cannot do the same.

Note, this is called flow-sensitive typing (also called type narrowing) and I think that typescript does it.

https://en.wikipedia.org/wiki/Flow-sensitive_typing

> I personally would see this as an human race level upgrades. Imagine feeding your code to a CI that spit back something like: "you will have a panic at line 156 when your input is > 4"

A model checker can do that!

See this

https://model-checking.github.io/kani/tutorial-kinds-of-fail...

Other techniques are also possible

https://github.com/viperproject/prusti-dev#quick-example

(Here I could link a lot of things, I just selected two Rust projects to illustrate)

This works better if you are able to provide contracts in your API that says which guarantees you provide. Alternatively, asserts are useful too.

You might be interested in the Prusti project, which statically checks for absence of reachable panics, overflows etc. It also allows user-defined specifications such as pre and post-conditions, loop body invariants, termination checking and so on.

https://github.com/viperproject/prusti-dev

This is called refinement types and prusti might be the project you saw.

But there's also a lot of exciting work around formal verification like Prusti.

prusti

Efforts: seL4, Project Everest, the Prossimo project of the ISRG, Let's Encrypt, and Prusti for the Rust language

Wow that sounds really cool! I'm not an expert but does that mean that one day you could implement dependend types or refinement types in Rust as a crate ? I currently only know of tools like: Flux Creusot Kani Prusti

I’ll add tarpaulin, a crate I use for code coverage analysis.

Any pros/cons compared to tarpaulin?

What about tarpaulin : https://github.com/xd009642/tarpaulin

Note that the tool cargo-tarpaulin provides code coverage.

There is https://github.com/xd009642/tarpaulin for code coverage, but I'm not sure how widely it's used.

I know giving a link is not a tutorial, but I use https://github.com/xd009642/tarpaulin for this.

Writing software test for [Toql](https://crates.io/crates/toql) and shaking out smaller bugs here and there. [Tarpaulin](https://github.com/xd009642/tarpaulin) is such a fantastic tool!

Code quality also has become quite better than the last year. Almost codes in the project are tested by either unit or integration tests. Code coverage using tarpaulin is above 90%.