sail
dafny
sail | dafny | |
---|---|---|
2 | 32 | |
546 | 2,805 | |
6.0% | 5.8% | |
9.5 | 9.7 | |
4 days ago | about 17 hours ago | |
Isabelle | C# | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sail
-
How to improve the RISC-V specification
Sail is pretty similar to ASL (both current ASL and ASL 1.0) except that (1) it has a more expressive type system, so that bitvector lengths can all be statically checked, (2) it has proper tagged unions and pattern matching, and (3) there's a wide range of open-source tooling available, for execution, specification coverage, generating emulators, integrating with relaxed concurrency models, generating theorem-prover definitions, etc. We've recently updated the Sail README, which spells some of this out: https://github.com/rems-project/sail .
As Alastair Reid says, one of the main things missing in the current RISC-V specification documents is simply that the associated Sail definitions are not yet interspersed with the prose instruction descriptions. The infrastructure to do that has been available for some time, in the Sail AsciiDoc support by Alasdair Armstrong (https://github.com/Alasdair/asciidoctor-sail/blob/master/doc...) and older LaTeX versions by Prashanth Mundkur and Alasdair (https://github.com/rems-project/riscv-isa-manual/blob/sail/r...).
-
Candy – a minimalistic functional programming language
That's completely feasible and there are languages that do this. It doesn't really eliminate the need to run your program unless the inputs to your program are also completely restricted types like One, Two, Three. In which case yeah, you don't need to run it and the type system can just tell you the answer.
I believe you can do that sort of thing in loads of type systems, e.g. Typescript, but there are languages that intentionally support it. I use a niche DSL that has fancy types like this called Sail. https://github.com/rems-project/sail
In my experience the downsides of these fancy "first class type systems" are
1. More incomprehensible error messages.
2. The type checker moves from a deterministic process that either succeeds or fails in an understandable way, to SMT solvers which can just say "yep it's ok" or "nope, couldn't prove it", semi-randomly, and there's little you can do about it.
Still my experience of Sail is that it's very comfortable to go a little bit further into SMT land, and my experience of Dafny is that it's very unpleasant to go full formal-verification at the moment.
I've done a fair bit of hardware formal verification too and that's a different story - very easy and very powerful. I'm hoping one day that software formal verification is like that.
dafny
-
Verified Rust for low-level systems code
For those that are interested but perhaps not aware in this similar project, Dafny is a "verification-aware programming language" that can compile to rust: https://github.com/dafny-lang/dafny
- Dafny is a verification-aware programming language
- Candy – a minimalistic functional programming language
- Dafny – a verification-aware programming language
-
Lean4 helped Terence Tao discover a small bug in his recent paper
Code correctness is a lost art. I requirement to think in abstractions is what scares a lot of devs to avoid it. The higher abstraction language (formal specs) focus on a dedicated language to describe code, whereas lower abstractions (code contracts) basically replace validation logic with a better model.
C# once had Code Contracts[1]; a simple yet powerful way to make formal specifications. The contracts was checked at compile time using the Z3 SMT solver[2]. It was unfortunately deprecated after a few years[3] and once removed from the .NET Runtime it was declared dead.
The closest thing C# now have is probably Dafny[4] while the C# dev guys still try to figure out how to implement it directly in the language[5].
[1] https://www.microsoft.com/en-us/research/project/code-contra...
[2] https://github.com/Z3Prover/z3
[3] https://github.com/microsoft/CodeContracts
[4] https://github.com/dafny-lang/dafny
[5] https://github.com/dotnet/csharplang/issues/105
-
The Deep Link Equating Math Proofs and Computer Programs
I don't think something that specific exists. There are a very large number of formal methods tools, each with different specialties / domains.
For verification with proof assistants, [Software Foundations](https://softwarefoundations.cis.upenn.edu/) and [Concrete Semantics](http://concrete-semantics.org/) are both solid.
For verification via model checking, you can check out [Learn TLA+](https://learntla.com/), and the more theoretical [Specifying Systems](https://lamport.azurewebsites.net/tla/book-02-08-08.pdf).
For more theory, check out [Formal Reasoning About Programs](http://adam.chlipala.net/frap/).
And for general projects look at [F*](https://www.fstar-lang.org/) and [Dafny](https://dafny.org/).
- Dafny
- The Dafny Programming and Verification Language
-
In Which I Claim Rich Hickey Is Wrong
Dafny and Whiley are two examples with explicit verification support. Idris and other dependently typed languages should all be rich enough to express the required predicate but might not necessarily be able to accept a reasonable implementation as proof. Isabelle, Lean, Coq, and other theorem provers definitely can express the capability but aren't going to churn out much in the way of executable programs; they're more useful to guide an implementation in a more practical functional language but then the proof is separated from the implementation, and you could also use tools like TLA+.
https://dafny.org/
https://whiley.org/
https://www.idris-lang.org/
https://isabelle.in.tum.de/
https://leanprover.github.io/
https://coq.inria.fr/
http://lamport.azurewebsites.net/tla/tla.html
-
Programming Languages Going Above and Beyond
> I think we can assume it won't be as efficient has hand written code
Actually, surprisingly, not necessarily the case!
If you'll refer to the discussion in https://github.com/dafny-lang/dafny/issues/601 and in https://github.com/dafny-lang/dafny/issues/547, Dafny can statically prove that certain compiler branches are not possible and will never be taken (such as out-of-bounds on index access, logical assumptions about whether a value is greater than or less than some other value, etc). This lets you code in the assumptions (__assume in C++ or unreachable_unchecked() under rust) that will allow the compiler to optimize the codegen using this information.
What are some alternatives?
tlaplus - TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.
FStar - A Proof-oriented Programming Language
rust - Rust for the xtensa architecture. Built in targets for the ESP32 and ESP8266
koka - Koka language compiler and interpreter
Rust-for-Linux - Adding support for the Rust language to the Linux kernel.
interactive - .NET Interactive combines the power of .NET with many other languages to create notebooks, REPLs, and embedded coding experiences. Share code, explore data, write, and learn across your apps in ways you couldn't before.
rust - Empowering everyone to build reliable and efficient software.
checkedc - Checked C is an extension to C that lets programmers write C code that is guaranteed by the compiler to be type-safe. The goal is to let people easily make their existing C code type-safe and eliminate entire classes of errors. Checked C does not address use-after-free errors. This repo has a wiki for Checked C, sample code, the specification, and test code.
unsafe-code-guidelines - Forum for discussion about what unsafe code can and can't do
awesome-programming-languages - The list of an awesome programming languages that you might be interested in
evercrypt-rust - Rust bindings for HACL & Evercrypt
rust - Rust language bindings for TensorFlow