RandomUtils tests are failing frequently
----------------------------------------

                 Key: LANG-592
                 URL: https://issues.apache.org/jira/browse/LANG-592
             Project: Commons Lang
          Issue Type: Test
          Components: lang.math.*
    Affects Versions: 2.x
            Reporter: Niall Pemberton
            Priority: Minor
             Fix For: 2.5


The additionan of 40+ chi-square tests added for RandomUtils have caused the 
RandomUtilsTest to start failing frequently.

Phil Steitz investigated this and wrote the following 
(http://markmail.org/message/mo4qb3qh75nq2kwn) on the mailing list:

{code}
The random data tests are failing at a high enough frequency to be
annoying / alarming to users.

I investigated the high incidence of test failures and found nothing
wrong with what the tests are doing and nothing to indicate
systematic bias in the data being generated; but the addition of 40+
chi-square tests in the test methods added in r907159 makes the
probability of failure in a given run > 1/25.  This is why there is
a high incidence of test failures.

I verified that failures appear to be evenly distributed (too many,
too few even/edd, too many, too few above/below range midpoints) and
that the chisquare statistics are being computed correctly, with the
right critical values applied.

If you do cut another RC, I would recommend one of the following:

1) Grab / copy and extend [math]'s RetryTestCase (will cut incidence
of failure in half)

2) Disable the stochastic test cases for the release

3) Reduce sensitivity of the chi-square test (change to e.g., .0005
level of significance)

4) Reduce the number of tests

My recommendation is 2) - leave in the source but comment out.  The
tests are valuable as they would fail regularly and miserably if
there were systematic bias (as there used to be on odd/even); but
without reducing significantly the number of tests or the
sensitivity (or limiting to a single "successful" PRNG sequence),
there is no way to leave them all in without generating an
annoyingly high rate of random failures.
{code}

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