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How to Specify It!

A Guide to Writing Properties of Pure Functions

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Trends in Functional Programming (TFP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12053))

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Abstract

Property-based testing tools test software against a specification, rather than a set of examples. This tutorial paper presents five generic approaches to writing such specifications (for purely functional code). We discuss the costs, benefits, and bug-finding power of each approach, with reference to a simple example with eight buggy variants. The lessons learned should help the reader to develop effective property-based tests in the future.

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Notes

  1. 1.

    http://hackage.haskell.org/package/QuickCheck.

  2. 2.

    http://hackage.haskell.org/package/QuickCheck.

  3. 3.

    https://hypothesis.works/articles/what-is-property-based-testing/.

  4. 4.

    https://en.wikipedia.org/wiki/QuickCheck.

  5. 5.

    https://fscheck.github.io/FsCheck/.

  6. 6.

    https://pypi.org/project/hypothesis/.

  7. 7.

    Recall that we have not imposed any balance condition on our trees. If we were to repeat this entire exercise for balanced trees, then we would need a stronger invariant to capture the balance condition, but we would still face the same problem in this property, since balance conditions don’t require a unique tree shape. Both trees in this example are balanced—they are just different balanced representations of the same information.

  8. 8.

    http://metwiki.net/MET19/.

  9. 9.

    http://mbt-workshop.org/.

  10. 10.

    https://conf.researchr.org/series/a-most.

  11. 11.

    A company founded in 2006 by the author and Thomas Arts, to commercialize property based testing. See http://quviq.com.

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Acknowledgements

I’m grateful to the anonymous referees for many useful suggested improvements, and to Vetenskapsrådet for funding this work under the SyTeC grant.

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Correspondence to John Hughes .

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A Metamorphic Properties

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Hughes, J. (2020). How to Specify It!. In: Bowman, W., Garcia, R. (eds) Trends in Functional Programming. TFP 2019. Lecture Notes in Computer Science(), vol 12053. Springer, Cham. https://doi.org/10.1007/978-3-030-47147-7_4

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  • DOI: https://doi.org/10.1007/978-3-030-47147-7_4

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