My understanding is that they have a large external dependency (my term: "the money system"), and running integration tests against it might be tricky or even undependable. Do they have a mock banking infrastructure they integrate against?
My understanding is that they have a large external dependency (my term: "the money system"), and running integration tests against it might be tricky or even undependable. Do they have a mock banking infrastructure they integrate against?
We don't have a single answer we use for every system we work on, but we employ a few common patterns, ranging from just keeping hard-coded strings containing the expected output, up to and including implementing our own fake versions of external infrastructure. We have, for example, our own faked ISO-8583 [1] authorization service, which some of our tests run against to get a degree of end-to-end testing.
Back-testing is also incredibly valuable: We have repositories of every conversation or transaction we've ever exchanged with the banking networks, and when making changes to parsers or interpreters, we can compare their output against the old version on all of that historical data.
Are you referring to test data or actual live transaction data? The latter would seem like a huge liability and target for hackers.
This sounds very familiar, we rely on external credit systems pretty heavily. We started by mocking service responses and including the response XML in our unit tests. Now we have a service simulator that returns expected values and has record/playback capability. It's not ideal and responses get outdated occasionally but we haven't found a more elegant way to handle it yet.
I pretty much do this habitually now:
1. Get report of bug in production or on staging.
2. Write test to reproduce the bug.
3. 2/3 of the time get stuck because the environment isn't capable of mimicking the bug.
4. Build upon the integration testing environment to make it capable of mimicking the bug.
I find the counter intuitive part of integration testing is that step 4 ends up being where most of the work is required and far too many people just don't do it because they feel it's not a worthwhile investment.
I actually ended up writing an open source framework to handle a lot of the boilerplate (which no other frameworks do AFAIK). Especially making mock devices easier to write (see http://hitchtest.com/ and check out HitchSMTP).
That's all I'm saying: tenable, but difficult (read: expensive). Frankly, I'm not convinced it is a worthwhile investment. Hence, my interest in how others have approached a similar problem.
Hitch looks pretty nifty, but I'm not sold on the yml/jinja2 approach. I grew to loathe Cucumber, and this approach seems similar. If you can't convince your non-technical staff to write tests in this language (which, in my experience, you can't), then you're better off writing the honest-to-god code that programmers are comfortable with (and can more easily modularize and refactor). YMMV I suppose!
YAML is different. It has much clearer syntax and the method mapping is super easy and can even easily handle more complex data structures being passed in in the steps (lists, dicts, lists of dicts, etc.) which Cucumber either couldn't do, or required tortuous syntax and horrible regexps to do.
I did it this way mainly to adhere to the rule of least power and to enforce separation of concerns between execution code and test scenarios. Readability by non-programmers is just a nice side effect.
I suppose one day I might make a GUI to generate the YAML - maybe then non-technical staff might write tests, but probably not before.
(eg cc handling could anon the CCs in a service before they reach the main app)
The integration with 3rd parties is a seperate issue that exists no matter of it is banks or not - i would guess they abstracted that as well as services or libs and decide case by case.