|7 months ago||about 1 month ago|
|BSD 3-clause "New" or "Revised" License||BSD 3-clause "New" or "Revised" License|
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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.
What are some alternatives?
hedgehog - Release with confidence, state-of-the-art property testing for Haskell.
genvalidity - Validity and validity-based testing
smallcheck-series - Orphan Series/CoSeries instances for common types
titan - Testing Infrastructure for Temporal AbstractioNs
smallcheck-laws - Property testing for common type classes
silvi - Haskell library for generating fake data.
test-fixture - Testing with monadic side-effects
tasty-groundhog-converters - Testing Harness for groundhog and groundhog converters.
HTF - Haskell Test Framework
HUnit-Plus - A test framework expanding on the HUnit Haskell testing package