|3 months ago||almost 7 years ago|
|BSD 3-clause "New" or "Revised" License||BSD 3-clause "New" or "Revised" License|
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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.
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 smallcheck-laws 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
genvalidity - Validity and validity-based testing
smallcheck-series - Orphan Series/CoSeries instances for common types
silvi - Haskell library for generating fake data.
titan - Testing Infrastructure for Temporal AbstractioNs
test-fixture - Testing with monadic side-effects
tasty-groundhog-converters - Testing Harness for groundhog and groundhog converters.
HTF - Haskell Test Framework