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- W1972453923 abstract "Numerous software testing methods involve random generation of data structures. However, random sampling methods currently in use by testing frameworks are not satisfactory: often manually written by the programmer or at best extracted in an ad-hoc way relying on no theoretical background. On the other end, random sampling methods with good theoretical properties exist but have a too high cost to be used in testing, in particular when large inputs are needed." @default.
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- W1972453923 date "2009-08-30" @default.
- W1972453923 modified "2023-09-27" @default.
- W1972453923 title "Fast and sound random generation for automated testing and benchmarking in objective Caml" @default.
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- W1972453923 doi "https://doi.org/10.1145/1596627.1596637" @default.
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