Hi Nova Devs,
Many times, there are a number of data sets that we have to run the same tests
on.
And, to create a different test for each data set values is time-consuming and
inefficient.
Data Driven Testing [1] overcomes this issue. Data-driven testing (DDT) is
taking a test,
parameterizing it and then running that test with varying data. This allows you
to run the
same test case with many varying inputs, therefore increasing coverage from a
single test,
reduces code duplication and can ease up error tracing as well.
DDT is a third party library needs to be installed separately and invoke the
module when writing the tests. At present DDT is used in cinder and rally.
To start with, I have reported this as a bug [2] and added initial patch [3]
for the same,
but couple of reviewers has suggested to discuss about this on ML as this is
not a real bug.
IMO this is not a feature implementation and it's just a effort for simplifying
our tests,
so a blueprint will be sufficient to track its progress.
So please let me know whether I can file a new blueprint or nova-specs to
proceed with this.
[1] http://ddt.readthedocs.io/en/latest/index.html
[2] https://bugs.launchpad.net/nova/+bug/1604798
[3] https://review.openstack.org/#/c/344820/
Thank you,
Dinesh Bhor
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