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| xcbuild | infer | |
|---|---|---|
| 0 | 36 | |
| 1,943 | 13,805 | |
| - | 0.5% | |
| 0.0 | 9.9 | |
| about 3 years ago | 4 days ago | |
| C++ | OCaml | |
| GNU General Public License v3.0 or later | MIT License |
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.
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infer
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A quick look at free C++ static analysis tools
I notice there isn't fbinfer. It's pretty cool, and is used for this library.
- OCaml 5.0 Multicore is out
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Beyond Functional Programming: The Verse Programming Language (Epic Games' new language with Simon Peyton Jones)
TBH, there's a non-zero amount of non-"ivory tower" tools you may have used that are written in functional languages. Say, Pandoc or Shellcheck are written in Haskell; Infer and Flow are written in OCaml. RabbitMQ and Whatsapp are implemented in Erlang (FB Messenger was too, originally; they switched to the C++ servers later). Twitter backend is (or was, at least) written in Scala.
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The State of Affine Types in C++?
- borrow-cpp which exploits some null dereference checks in the infer static analyzer to model some of borrow checking.
- Prusti: Static Analyzer for Rust
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Programming Breakthroughs We Need
> Maybe you could write tests as queries that would test a whole set of possible programs, not only the current version of your program at the moment.
I think that the future of programming is more sophisticated static analysis. Programmers will write statements like, "every code path that writes to the Payments database must have called validate_user()." Then, the tooling will confirm that rule with every commit.
We kind of have this already (for example, Facebook's Infer tool [0]), but I think it will become much more important in the coming decade.
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Formally Verifying Industry Cryptography
Great question! Formal methods groups in industry are growing rapidly and popping up in surprising places. Amazon's group is probably the most famous, but I think pretty much every big tech company has something going on in the formal verification / static analysis space. There's also a lot going on in blockchain . It's definitely becoming harder to hire people with FM skills, so in that sense, I think it's a great space to get into.
The downside is that the space is quite fragmented and a lot of tools have a high skill bar. If I was starting out, I'd probably focus on static analysis (eg. Infer or something similar - https://github.com/facebook/infer) because those tools tend to be easier to learn, and they have the potential to scale to really big systems. In contrast, Coq is a fine tool, but most people learn it by going to grad school which isn't useful short term career advice.
There are lot of great interviews with practitioners on the Galois podcast, Building Better Systems - that might be a good place to start exploring: https://www.stitcher.com/show/building-better-systems
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Hard Things in Computer Science
> The only reliable way to have bug-free code is to prove it. It requires solid mathematical foundations and a programming language that allows formal proofs.
I'm going to be the "actually" guy and say that, actually, you can formally verify some studff about programs written in traditional/mainstream languages, like C. Matter of fact, this is a pretty lively research area, with some tools like CBMC [0] and Infer [1] also getting significant adoption in the industry.
[0]: https://github.com/diffblue/cbmc
[1]: https://fbinfer.com/
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How to make develop C application easier?
There are also static analyzers, for example PVS-Studio which is commercial and solid: https://pvs-studio.com/en/ The GCC compiler, starting with version 10, has a static analyzer that you activate with the “-fanalyzer” option. It’s still quite limited but I use it. Be sure the get GCC version 11.2 or later because the analyzer got much better after version 10. Facebook has a no-cost analyzer, but I haven’t tried it yet: https://fbinfer.com/
- infer - A static analyzer for Java, C, C++, and Objective-C open-sourced by Facebook
What are some alternatives?
SonarQube - Continuous Inspection
Spotbugs - SpotBugs is FindBugs' successor. A tool for static analysis to look for bugs in Java code.
FindBugs - The new home of the FindBugs project
PMD - An extensible multilanguage static code analyzer.
Error Prone - Catch common Java mistakes as compile-time errors
Checkstyle - Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.
XcodeGen - A Swift command line tool for generating your Xcode project
SonarJava - :coffee: SonarSource Static Analyzer for Java Code Quality and Security
fastlane-plugin-appicon - Generate required icon sizes and iconset from a master application icon.
R.swift - Strong typed, autocompleted resources like images, fonts and segues in Swift projects
Sourcetrail - Sourcetrail - free and open-source interactive source explorer
jQAssistant - Your Software. Your Structures. Your Rules.