2011ACM SIGPLAN NoticesRequires access

QuickCheck

Koen Claessen, John Hughes

Open publisher page 1,021 citations

Abstract

QuickCheck is a tool which aids the Haskell programmer in formulating and testing properties of programs. Properties are discribed as Haskell functions, and can be automatically tested on random input, but it is also possible to define custom test data generators. We present a number of case studies, in which the tool was successfully used, and also point out some pitfalls to avoid. Random testing is especially suitable for functional programs because properties can be stated at a fine grain. When a function is built from separately tested components, then random testing suffuces to obtain good coverage of the definition under test.

About this research paper

What this paper is about

QuickCheck is a tool which aids the Haskell programmer in formulating and testing properties of programs. Properties are discribed as Haskell functions, and can be automatically tested on random input, but it is also possible to define custom test data generators. We present a number of case studies, in which the tool was successfully used, and also point out some pitfalls to avoid. Random testing is especially suitable for functional programs because properties can be stated at a fine grain. When a function is built from separately tested components, then random testing suffuces to obtain good coverage of the definition under test.

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Available abstract

QuickCheck is a tool which aids the Haskell programmer in formulating and testing properties of programs. Properties are discribed as Haskell functions, and can be automatically tested on random input, but it is also possible to define custom test data generators. We present a number of case studies, in which the tool was successfully used, and also point out some pitfalls to avoid. Random testing is especially suitable for functional programs because properties can be stated at a fine grain. When a function is built from separately tested components, then random testing suffuces to obtain good coverage of the definition under test.

Key concepts: Haskell, Computer science, Random testing, Programmer, Programming language, Functional programming, Random function, Point (geometry)

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