Unit testing best practices
howtodoinjava.com
howtodoinjava.com
Testing private methods? Wrong. Don't do this. They'll be covered by your public API, if they aren't, delete them. If you need to test code that is private, you've got a missing abstraction. Pull that code out into a separate class, make the method public.
Testing you get a null reference when you send in null to a method? So what? You're testing Java/C#/etc... if you do this. Test for behaviour.
Need to use tear down methods? You're not unit testing anymore.
At least the article never recommended testing accessors... Again, please don't.
I just had a quick look through my unit tests for place where I test a private method.
I have a method which looks through an array for a pair of adjacent variables, with a particular property (they have p < V1 > V2 < n for variables V1 and V2, relating to the previous variable and next variable, and where < is a more complicated operator).
Anyway, this gets used lots of times by my algorithm. However, I added some unit tests because I wanted to make sure that the obvious corner cases (beginning and end of array, not occurring) get checked correctly. Hopefully these cases are hit by my input data, but it is hard to construct input data that has particular properties.
I could pull this out into another class, but the method is actually fairly small and not used anywhere else, so that seems like a bit of a waste really.
On checking you get a null reference when you pass null into a method. I make this part of the API of some of my functions (in my case C++, so null pointer actually). I want to check that actually happens, as opposed to some nasty crash. Isn't that checking for behaviour? What else should I do instead?
You've got a missing class. The fact you're so concerned with testing it highlights this.
The fact it's private I should be free to rename, add or remove parameters. If I did this to your private method, I'd break unit tests, despite the code being private.
For the null reference problem, it depends on your language. But the point remains the same. For public API's, e.g something you let the outside world consume, checking for null etc.. will be required. For internal code, don't bother. Go as high as you can in the stack and fix the root cause of the null reference in the first place.
On your second point, I do disagree. I like to view all functions, even internals one, as having a documented API, covering things like bad inputs. This means that all functions (in debugging/assertion mode at least) promise to sanity-check their inputs for null pointers, etc.
In C++ at least I find this a necessity, as a single wrong pointer can cause horrible memory corruption all over my code. The whole point of these assertions is to allow me to find the place in the stack where the null pointers are coming from without pulling all my hair out in the process!
Null is probably the worst mistake in programming history; never use it internally, never call an internal function with it, and then you don't need to make your functions check for it. If you're really paranoid you can use a static analysis tool to enforce that you're doing it right.
I used to be very slack on internal checks. As times goes by I have pushed more of these into the type system where appropriate, and as checks. While unit tests on your external API can be useful, it can be hard to ensure coverage of all the nasty corner cases of your internals, some of which are only hit one time a million, or hundred million.
I find having all these checks makes me more confident about changing my internal APIs. If anyone is calling a function inappropriately for it's new interface, I will quickly get an assertion flagged up, as opposed to code carrying on calling a function incorrectly.
Just so we aren't talking at cross purposes, I feel I should say most of my programming is algorithmic, particularly in AI. In this field it can be devilishly difficult to construct good unit tests and ways of hitting bits of algorithms -- I am currently working on an algorithm which has function which I believe is required but which I cannot construct test data for my external API which causes it be called. Always a little worrying!
Yeah, the type system is the appropriate place for most of these (including null even).
>I find having all these checks makes me more confident about changing my internal APIs. If anyone is calling a function inappropriately for it's new interface, I will quickly get an assertion flagged up, as opposed to code carrying on calling a function incorrectly.
I think we may be talking at cross purposes wrt "public". I don't mean "only ever test your external API". I do mean "only ever test public methods of a class, in the technical sense of public".
Of course a large project will end up with lower-level and higher-level layers, and eventually you do need to define more rigid boundaries between the two to avoid everything becoming an unmaintainable mess, and testing at these boundaries is entirely appropriate. But a single class should belong to one layer or another.
>I am currently working on an algorithm which has function which I believe is required but which I cannot construct test data for my external API which causes it be called. Always a little worrying!
More than a little. My advice (not that you need it) would be to try and encode the constraint that leads to it not being called in the type system, then push it up through the layers.
If your paranoid about null pointers in C/C++, use asserts or static analysis.
It seems like out of a matter of practicality that sometimes it would be best to have a unit test for a private method- dogma be damned.
Personally, if it's tricky code or something I worry about, I test it. If you change it, write your own damn test :-)
Use Guard to run tests after each file change - Constantly running and re-running your tests in the background lets you know faster when you break something, but also forces you to keep your tests fast.
Use a visual test runner - Using guard is great, but I also like a nice HTML page I can reload that ends up being red/green based on your tests. Going from red to green can be deeply satisfying for reasons I don't fully understand. RSpec has a nice HTML output for ruby.
Use a visual code coverage tool - Having 80% or 90% code coverage is a useless statistic, but having a tool that shows you what part of the code is being tested and what isn't is extremely useful. If nothing else it tells you where you need to add tests or what part of your code is hard/impossible to test. I like SimpleCov for ruby.
Setup code should be pretty simple and stable, so should very rarely suddenly start throwing new exceptions.
If you need to pinpoint which bit of code under test threw the exception, you're probably testing too much in one test.
Of course, the advice changes when you're using a unit testing framework as a runner for integration tests.
http://kentbeck.github.com/junit/javadoc/4.10/org/junit/rule...
This is more compact and declarative than the usual
try {
...;
fail();
} catch (...) {
// expected
}Firstly this is most useful when it's @Test(expected=SomeDomainSpecificException.class) NPEs can be thrown by anything.
Secondly, if you're following the other advice and have tests that test only one thing and assert only one thing then there should be only one line that can throw an Exception.
Firstly, it doesn't increase test coverage. You're still executing the same code paths, just weakening your assertions about the methods behavior.
Secondly, even if it did, what's the point of increasing test coverage if you're not actually saying anything useful about the contracts of your methods?
Coverage isn't the end goal that you slavishly need to satisfy, it's a useful indicator of how thorough your tests are. You don't make your tests more thorough by weakening your assertions.
Of course it is!
> Mock out all external services and state
... unless those 'external services' are an essential part of you application (e.g. databases).
> Don’t unit-test configuration settings
Unit-test anything that needs to be unit-tested.
> All methods, regardless of visibility, should have appropriate unit tests
Capable of being misunderstood ...
> Aim for each unit test method to perform exactly one assertion
This limitation makes no sense.
> Do not print anything out in unit tests
Arbitrary restriciton.
> Capture results using the XML formatter
But why?
tl;dr Thanks, but I stick to my own tried and proven Unit-test guidelines.