Bliki: IntegrationTest

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Integration tests determine if independently developed units of software
work correctly when they are connected to each other. The term has become
blurred even by the diffuse standards of the software industry, so I’ve been


wary of using it in my writing. In particular, many people assume integration
tests are necessarily broad in scope, while they can be more effectively done
with a narrower scope.

As often with these things, it’s best to start with a bit of history. When
I first learned about integration testing, it was in the 1980’s and the
waterfall was the dominant influence of software development thinking. In a
larger project, we would have a design phase that would specify the interface
and behavior of the various modules in the system. Modules would then be
assigned to developers to program. It was not unusual for one programmer to be
responsible for a single module, but this would be big enough that it could
take months to build it. All this work was done in isolation, and when the
programmer believed it was finished they would hand it over to QA for
testing.

The first part of testing would be unit testing, which would test that
module on its own, against the specification that had been done in the design
phase. Once that was complete, we then move to integration testing, where
the various modules are combined together, either into the entire system, or
into significant sub-systems.

The point of integration testing, as the name suggests, is to test whether
many separately developed modules work together as expected
. It was performed
by activating many modules and running higher level tests against all of them
to ensure they operated together. These modules could parts of a single
executable, or separate.

Looking at it from a more 2010s perspective, these conflated two different
things:

  • testing that separately developed modules worked together
    properly
  • test that a system of multiple modules worked as expected.

These two things were easy to conflate, after all how else would you test
the frobile and twibbler modules without activating them both into a single
environment and running tests that exercised both modules?

The 2010s perspective offers another alternative, one that was rarely
considered in the 1980s. In the alternative, we test the integration of the
frobile and twibbler modules by exercising the portion of the code in frobile
that interacts with twibbler, executing it against a TestDouble of
twibbler. Providing the test double is a faithful double of twibber, we can
then test all the interaction behavior of twibbler without activating a full
twibbler instance. This may not be a big deal if they are separate modules of
a monolithic application, but is a big deal if twibbler is a separate service,
which requires its own build tools, environments, and network connections. For
services, such tests may run against an in-process test double, or against an
over-the-wire double, using something like mountebank

An obvious catch with integration testing against a double is whether that
double is truly faithful. But we can test that separately using ContractTests.

Using this combination of using narrow integration tests and contract
tests, I can be confident of integrating against an external service without
ever running tests against a real instance of that service, which greatly
eases my build process. Teams that do this, may still do some form of
end-to-end system test with all real services, but if so it’s only a final
smoke test with a very limited range of paths tested. It also helps to have a
mature QA in Production capability, and if that is
mature enough, there may be no end-to-end system testing done at all.

The problem is that we have (at least) two different notions of what
constitutes an integration test.

narrow integration tests

  • exercise only that portion of the code in my service that talks to a
    separate service
  • uses test doubles of those services, either in process or remote
  • thus consist of many narrowly scoped tests, often no larger in scope than a
    unit test (and usually run with the same test framework that’s used for unit
    tests)

broad integration tests

  • require live versions of all services, requiring substantial test
    environment and network access
  • exercise code paths through all services, not just code responsible for
    interactions

And there is a large population of software developers for whom
“integration test” only means “broad integration tests”, leading to plenty of
confusion when they run into people who use the narrow approach.

If your only integration tests are broad ones, you should consider
exploring the narrow style, as it’s likely to significantly improve your
testing speed, ease of use, and resiliency. Since narrow integration tests are
limited in scope, they often run very fast, so can run in early stages of a
DeploymentPipeline, providing faster feedback should they go
red.

All this is why I’m wary with “integration test”. When I read it, I look
for more context so I know which kind the author really means. [1] If I talk about
broad integration tests, I prefer to use “system test” or “end-to-end test”. I
don’t have any better name for narrow integration tests, so I do use that (but
with “narrow” to help signal to the reader the nature of these tests).

Acknowledgements

Birgitta Böckeler, Brian Oxley, Dave Rice, Deepti Mittal, Jonny Leroy, Kief Morris, Raimund Klein, Rogerio Chaves, and Tiago Griffo

discussed drafts of this post on our internal mailing list.

Notes

1:
Although I prefer to focus the definition on the interaction of separately
built modules, I do occasionally see “integration test” used to mean anything
bigger than a unit test. And for some users of solitary unit tests, I’ve
seen them describe sociable unit tests as “integration tests”.

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