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Property-based testing #1: What is it anyway?
1 project | dev.to | 9 Jun 2022
Another strategy is exhaustive generation. There, all possible values for some type are generated in some well-defined order - typically from "small" to "large" values, and with some upper bound, as once you go past booleans the number of values for most types are (countably) infinite. For example, trying all the integers between -20 and 20 in "zig zag" order 0,1,-1,2,-2,.... SmallCheck for Haskell and SciFe for Scala do this, but this approach is not so well-known. It's a shame as random and exhaustive generation are complementary - if you think of generating values as exploring some large space to find failing tests, random generation is a serendipitous type of exploration, while exhaustive generation is diligently mapping out all the paths in some area.
We haven't tracked posts mentioning HTF yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
hedgehog - Release with confidence, state-of-the-art property testing for Haskell.
leancheck - enumerative property-based testing for Haskell
hspec - A Testing Framework for Haskell
genvalidity - Validity and validity-based testing
test-framework - Framework for running and organising QuickCheck test properties and HUnit test cases
quickspec - Equational laws for free
HUnit - A unit testing framework for Haskell
curl-runnings - A declarative test framework for quickly and easily writing integration tests against JSON API's.
hedgehog-classes - Hedgehog will eat your typeclass bugs
smallcheck-series - Orphan Series/CoSeries instances for common types
checkers - Check properties on standard classes and data structures
monad-mock - A Haskell package that provides a monad transformer for mocking mtl-style typeclasses