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Asked: 2026-06-16T03:20:02+00:00

I’m creating a module in java which takes some samples over time and deduces

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I’m creating a module in java which takes some samples over time and deduces some deducations. just a standard statistical model.

now in order to test it i need to generate some samples over time, and change them, and verify the results.. over time, and be able to assert that results match the varying samples over time, and change some base parameters run the same simualtions.

now instead of building such complex test cases by myself i was trying to search if there is already such a test library for java which can reduce the workload on such test cases, i couldn’t really find one… anyone aware of such a library? (if not for best practices?)

thanks

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1 Answer

  1. Editorial Team

    Look at Apache Math. There are many classes for statistics and they have unit tests which have data. There is also a class for generating random data:

    The Commons Math random package includes utilities for

    generating random numbers
generating random vectors
generating random strings
generating cryptographically secure sequences of random numbers or strings
generating random samples and permutations
analyzing distributions of values in an input file and generating values "like" the values in the file
generating data for grouped frequency distributions or histograms

    The source of random data used by the data generation utilities is
    pluggable. By default, the JDK-supplied PseudoRandom Number Generator
    (PRNG) is used, but alternative generators can be “plugged in” using
    an adaptor framework, which provides a generic facility for replacing
    java.util.Random with an alternative PRNG. Other very good PRNG
    suitable for Monte-Carlo analysis (but not for cryptography) provided
    by the library are the Mersenne twister from Makoto Matsumoto and
    Takuji Nishimura and the more recent WELL generators (Well
    Equidistributed Long-period Linear) from François Panneton, Pierre
    L’Ecuyer and Makoto Matsumoto.

    Sections 2.2-2.6 below show how to use the commons math API to
    generate different kinds of random data. The examples all use the
    default JDK-supplied PRNG. PRNG pluggability is covered in 2.7. The
    only modification required to the examples to use alternative PRNGs is
    to replace the argumentless constructor calls with invocations
    including a RandomGenerator instance as a parameter.

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