So here's a metric for you:
Test distance - the measure of how far from app code your test code is.
To see what I mean by it, let's take a journey from Galactic distances down to the very microscopic ones...
Sometimes tests are kept in a completely separate repository from the main source code tree. Looks crazy? Indeed... Most likely the project manager was clueless. But there are specific situations where this kind of arrangement might make sense. For example when your tests apply for many projects, like the ACID tests for browsers.
Advantages:
Disadvantages:
The most widespread practice is to have your app code and test code as a separate directory-trees which closely mimic each-other:
src/
foo.rb
bar.rb
test/
foo_test.rb
bar_test.rb
But the common practice is an odd one. It's tedious to rename
foo_test.rb
every time you rename foo.rb
, and it's inconvenient to
look up the corresponding test file from a completely separate
directory.
The actual big advantage of this strategy is the ability to have your tests structured completely differently from code. For example you could have a full directory of tests to ensure one very complex function works as needed, or you could have one test file to cover the behavior of a group of classes.
Advantages:
Disadvantages:
src/
and test/
dir in sync.If you really want to have a test file for every code file, then here's a possible structure for you:
src/
foo.rb
foo_test.rb
bar.rb
bar_test.rb
I've never really seen it used in practice. Most devs like to keep some distance between the code and tests and this seems to cross that line. It also has a bit of a clobbered feeling, and the number of files in your src/ dir will double.
But this way it's much harder to forget about the tests. You don't have to take on a journey to a different directory tree to get to your tests - they are right there.
Advantages:
Disadvantages:
src/
dir with tests.To really solve the syncronisation of code and test files we need to get rid of the test files. The solution: put tests inside the code. For example let's have the test code at the end of the file:
function foo() {
}
function bar() {
}
...
function test_foo() {
}
function test_bar() {
}
All the file-management problems now go away. When you open up the code, you simultaneously open up the tests.
I've seen this practice sometimes used in Haskell. Also @test
annotations in Java allow for a relatively convenient way to achieve
this. In a compiled languages this whole approach makes much more
sense - the code for test functions is simply eliminated at compile
time.
Though, if you put the tests at the end of the file, you might need to scroll up and down between the code and tests, which could end up being really tedious. While if you put the test methods right next to real methods, your code might become way too messy.
Advantages:
Disadvantages:
To avoid creating indistinguishable mix of app code and test code, we can embed the tests inside comments. Here's a style example from Functional JS libarary which uses that approach throughout its code:
/**
* Returns its argument coerced to a function.
* >> lambda('1+')(2) -> 3
* >> lambda(function(n){return n+1})(2) -> 3
*/
Functional.lambda = function(object) {
return object.toFunction();
}
This takes on a literal-programming feel as tests will become an actual part of the documentation.
Advantages:
Disadvantages:
There are some general tendencies here. When testing at hight distance you have a lot of flexibility in organizing your tests, but it's quite hard to keep your tests in sync with your app code. When you go down to smaller distances, it becomes much easier to keep things in sync, but you start to lose flexibility up to the point where you can only write very limited assertion-like tests.
Additionally as you go to smaller distances, you will need more specific tools to help you in keeping the app code and test code separate.
But I'm not here to tell you what the right distance is. You might be just fine with the usual flying distance. Or maybe the microscopic approach suits you the best. You could also test from several different distances at the same time. Like always, don't be slave to any methodology and knowing your options choose what suits you the best.
But make sure you don't fall entirely into the zeroth category that I didn't mention (but I think you can quess what that is).
Kirjutatud 10. aprillil 2012.
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