Ever wondered why parametric tests in xUnit are called “theories”? And why are tests called “facts” instead of, well, just “tests”?
Investigating on this topic helped me realize that I have always used xUnit theories incorrectly. And that xUnit loves the idea of Property-Based Testing.
I’ve been tought to use xUnit theories as a mere trick to repeat a test with different inputs, without incurring in duplication:
[Theory]
[InlineData(2, true)]
[InlineData(4, true)]
[InlineData(3, false)]
[InlineData(7, false)]
void check_if_odd_or_even(int number, bool expectedResult)
{
var actualResult = IsEven(number);
Assert.Equal(expectedResult, actualResult);
}
Like in this dummy example, I’ve always been used have an
expectedResult
parameter.
I then realized that this is not the style used in the xUnit
manual. The chapter Write your first theory
never mentions any argument like my expectedResult
. Instead, it uses
this style:
[Theory]
[InlineData(3)]
[InlineData(5)]
[InlineData(6)]
public void MyFirstTheory(int value)
{
Assert.True(IsOdd(value));
}
bool IsOdd(int value)
{
return value % 2 == 1;
}
It claims that a property (“to be odd”) holds for a set of inputs. Indeed, it was introduced by this sentence:
You may have wondered why your first unit tests use an attribute named [Fact] rather than one with a more traditional name like Test. xUnit.net includes support for two different major types of unit tests: facts and theories. When describing the difference between facts and theories, we like to say:
Facts are tests which are always true. They test invariant conditions.
Theories are tests which are only true for a particular set of data.
Under this light, Theories remind me of Properties in
Property-Based Testing.
Ideally, xUnit designers could have decided to let theories run
against a predicate, and let them assume success if the predicate is
true, failure otherwise:
[Theory]
[InlineData(3)]
[InlineData(5)]
[InlineData(6)]
public void MyFirstTheory(int value) =>
IsOdd(value));
Add a way to generate inputs and you would have Property-Based Testing.
Am I going too far?
I thought so. Then I stubled upon a comment to the xUnit Issue
#2822 - Why the word “[Theory]” as opposed to something like
“[MultiFact]”?:
Ruben Bartelink observed in his comment:
It’s just naming; The names are accentuating the role it plays vs a lower level description of what it technically does/is. […] you can argue it puts authors in the right frame of mind. Or you can argue that it’s cryptic. But xUnit is definitely designed with lots of though put into nuanced design aspects with a view to nudging one towards writing good tests, and shaping good systems.
So, this is indeed very intentional and about promoting a specific testing style. Going ahead (bold is mine):
In xUnit
A Fact is an individual relevant assertion. If you have 3 of them, they may or may not mean anything in aggregate.
A Theory is a set of facts that together prove an overall concept
In Property Based Testing, a Property is called that because that’s its role - It’s not aTestWithMultipleInvocationsBasedOnArbitraryData
. We are specifting a property of the system under test.
So, I’m not alone observing a similarity with PBT.
Brad Wilson, xUnit’s caretaker, commented quoting the page Why Did we Build xUnit 1.0?:
The definition of how to run a test method can be extended. There are two example of this: the first, in xunitext.dll, is the [Theory] attribute which allows data-driven tests; the second, in the samples, is the [RepeatTest] attribute which runs a test method multiple times in a row. For more information on data theories, see https://homes.cs.washington.edu/~mernst/pubs/testing-theories-tr002-abstract.html.
Down the rabbit hole, here is an excerpt of the paper’s abstract (bold is mine):
Traditional test suites verify a few well-picked scenarios or example inputs. […] We propose theory-based testing as an adjunct to example-based testing.
A theory generalizes a (possibly infinite) set of example-based tests. A theory is an assertion that should be true for any data, and it can be exercised by human-chosen data or by automatic data generation.
Here are some code examples from the paper. In the first one:
public void additionIsInverseOfSubtraction(int x, int y) {
assertEquals(x, (x + y) - y);
}
the assertion should hold over the entire valid input space. In the following:
@Theory
void equalObjectsEqualHashes(Object a, Object b) {
assumeTrue(a.equals(b));
assertTrue(a.hashCode() == b.hashCode());
}
the assumption expressed by assumeTrue
further restricts which
inputs are valid for evaluating the assertion.
In one of the last chapters, the paper introduces the idea of a Theory Explorer, an input generator based on Agitator, used to find inputs that will cause the theory to fail.
This Theory-Based Testing is really akin to Property-Based Testing. The paper even mentions the classical test on reversing a string and Haskell’s QuickCheck, which predates the paper by 9 years. No mention to PBT is present, though.
xUnit is not a Property-Based Testing library, and it’s unlikely to
evolve into one anytime soon.
In Property-Based Testing for The Rest of Us I argue that
the value of PBT lies not primarily in the random generation of
inputs; instead, it comes from how it encourages developers to gain a
deeper and reasoned undertanding of requirements, compared to
example-based testing.
My take away is: it is worth to use theories the way they have been
originally conceived and designed. I bet that the mere attempt not to
use any expectedResult
argument is very likely to bring to more
profound and effective tests.