hedgehog
FsCheck
Our great sponsors
- CodiumAI - TestGPT | Generating meaningful tests for busy devs
- InfluxDB - Access the most powerful time series database as a service
- SonarLint - Clean code begins in your IDE with SonarLint
- ONLYOFFICE ONLYOFFICE Docs — document collaboration in your environment
| hedgehog | FsCheck | |
|---|---|---|
| 3 | 11 | |
| 652 | 1,062 | |
| 1.1% | 1.3% | |
| 2.6 | 4.0 | |
| 7 days ago | 7 months ago | |
| Haskell | F# | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" 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.
hedgehog
-
Monthly Hask Anything (May 2022)
I've had some PRs open on hedgehog for one and two months respectively. It looks like the maintainer isn't currently very active, which is fair enough. This isn't about criticizing him, and I'm not trying to take over the repo.
-
Monthly Hask Anything (February 2022)
Testing libraries like hedgehog often run tests in parallel, so you may find related issues to work on.
-
Mutation Testing
Haskell has QuickCheck and Hedgehog, and dotnet has both as well. F# is favored, but there's C# interop.
FsCheck
-
Is there a tool that could be used to generate fake unit test cases automatically for code coverage? (read description before downvoting)
https://fscheck.github.io/FsCheck/ can hopefully generate random inputs automatically or with low effort for many methods to get your code coverage up. You don’t even need to write real tests right now, just call the methods with the random inputs and check they don’t fail.
-
Typesafe F# configuration binding
At Symbolica we're building a symbolic execution service that explores every reachable state of a user's program and verifies assertions at each of these states to check that the program is correct. By default it will check for common undefined behaviours, such as out-of-bounds memory reads or divide by zero, but it can also be used with custom, application specific, assertions too just like the kind you'd write in a unit test. Seen from this perspective it's kind of like FsCheck (or Haskell's QuickCheck or Python's Hypothesis), but much more exhaustive and without the randomness.
-
Does anybody know a simple algorithm for generating unit tests given a function's code?
Maybe something like QuickCheck, a quick search gave me this library for .NET https://github.com/fscheck/FsCheck
-
When do you consider your unit tests be "enough"?
Because of the above I've generally been using tools like Stryker.NET and FsCheck to augment my testing suite. I'm still doing unit testing to find the more obvious "I haven't had my coffee, let's make sure I'm doing what I think I'm doing" bugs. I'm just using things like mutation testing, property testing, fuzzing, etc. to find the deeper issues in my code. There's a ton of libraries out there, including one that I've built for myself to help with testing but FsCheck and Stryker are just beautiful. And if you're interested in fuzzing, SharpFuzz is a great option. But that one isn't quite as easy of an on ramp compared to the other two that I mentioned.
-
What are you working on? (2021-06)
Looks cool. Is there a reason why you didn't use FsCheck or Hedgehog? They're built to generate random data for testing, and can return the seed if a test fails so you can rerun the test with the exact same data once you figure out what the problem is - which is useful if the failure condition is rare.
-
Mutation Testing
Haskell has QuickCheck and Hedgehog, and dotnet has both as well. F# is favored, but there's C# interop.
-
In praise of property-based testing
FsCheck is probably most popular
What are some alternatives?
AutoFixture - AutoFixture is an open source library for .NET designed to minimize the 'Arrange' phase of your unit tests in order to maximize maintainability. Its primary goal is to allow developers to focus on what is being tested rather than how to setup the test scenario, by making it easier to create object graphs containing test data.
QuickCheck - Automatic testing of Haskell programs.
Bogus - :card_index: A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
Expecto - A smooth testing lib for F#. APIs made for humans! Strong testing methodologies for everyone!
sharpfuzz - AFL-based fuzz testing for .NET
quickcheck-arbitrary-adt - Typeclass for generating a list of each instance of a sum type's constructors
Fluent Assertions - A very extensive set of extension methods that allow you to more naturally specify the expected outcome of a TDD or BDD-style unit tests. Targets .NET Framework 4.7, as well as .NET Core 2.1, .NET Core 3.0, .NET 6, .NET Standard 2.0 and 2.1. Supports the unit test frameworks MSTest2, NUnit3, XUnit2, MSpec, and NSpec3.
smallcheck - Test your Haskell code by exhaustively checking its properties
quickcheck-instances - Instances for QuickCheck classes
tasty - Modern and extensible testing framework for Haskell
Moq - Repo for managing Moq 4.x
quickcheck-state-machine - Test monadic programs using state machine based models