JUnit 5 Parameterized Tests

  • January 29, 2023
Table Of Contents

If you’re reading this article, it means you’re already well-versed with JUnit.

Let me give you a summary of JUnit - In software development, we developers write code which does something simple as designing a person’s profile or as complex as making a payment (in a banking system). When we develop these features, we tend to write unit tests. As the name suggests, the main purpose of unit tests is to ensure that small, individual parts of code are functioning as expected. If the execution of the unit test fails for any reason, it means the functionality is not working as intended. One such tool available for writing unit tests is JUnit. These unit tests are tiny programs, yet so powerful and execute in a (Thanos) snap. If you like to learn more about JUnit 5 (also known as JUnit Jupiter), please check out - JUnit5 article here

Now that we know about JUnit. Let’s now focus on the topic of parameterized tests in JUnit 5. The parameterized tests solve the most common problems while developing a test framework for any old/new functionalities.

  • Writing a test case for every possible input becomes easy.
  • A single test case can accept multiple inputs to test the source code, helping to reduce code duplication.
  • By running a single test case with multiple inputs, we can be confident that all possible scenarios have been covered and maintain better code coverage.

Development teams aim to create source code that is both reusable and loosely coupled by utilizing methods and classes. The way the code functions is affected by the parameters passed to it. For example, the sum method in a Calculator class is able to process both integer and float values. JUnit 5 has introduced the ability to perform parameterized tests, which enables testing the source code using a single test case that can accept different inputs. This allows for more efficient testing, as previously in older versions of JUnit, separate test cases had to be created for each input type, leading to a lot of code repetition.

Example Code

This article is accompanied by a working code example on GitHub.

Setup

Just like the mad titan Thanos who is fond of accessing powers, you can access the power of parameterized tests in JUnit5 using the below maven dependency

<dependency>
	<groupId>org.junit.jupiter</groupId>
	<artifactId>junit-jupiter-params</artifactId>
	<version>5.9.2</version>
	<scope>test</scope>
</dependency>

Let’s do some coding, shall we?

Our First Parameterized Test

Now, I would like to introduce you to a new annotation @ParameterizedTest. As the name suggests, it tells the JUnit engine to run this test with different input values.

import static org.junit.jupiter.api.Assertions.assertEquals;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;

public class ValueSourceTest {

	@ParameterizedTest
	@ValueSource(ints = { 2, 4 })
	void checkEvenNumber(int number) {
		assertEquals(0, number % 2, 
		             "Supplied number is not an even number");
	}
}

In the above example, the annotation @ValueSource provides multiple inputs to the checkEvenNumber() method. Let’s say we are writing the same using JUnit4, we had to write 2 test cases to cover the inputs 2 and 4 even though their result (assertion) is exactly the same.

When we execute the ValueSourceTest, what we see:

ValueSourceTest
|_ checkEvenNumber
    |_ [1] 2
    |_ [2] 4

It means that the checkEvenNumber() method is executed with 2 input values.

In the next section, let’s learn about the various arguments sources provided by the JUnit5 framework.

Sources Of Arguments

JUnit5 offers a number of source annotations. The following sections provide a brief overview and an example for some of these annotations.

@ValueSource

It is one of the simple sources. It accepts a single array of literal values. The literal values supported by @ValueSource are: short, byte, int, long, float, double, char, boolean, String and Class.

@ParameterizedTest
@ValueSource(strings = { "a1", "b2" })
void checkAlphanumeric(String word) {
	assertTrue(StringUtils.isAlphanumeric(word), 
			   "Supplied word is not alpha-numeric");
}

@NullSource & @EmptySource

Let’s say when verifying if the user has supplied all the required fields (username and password in a login function). We check the provided fields are not null, not empty or not blank using the annotations

  • @NullSource & @EmptySource in unit tests will help us supply the source code with null, empty and blank values and verify the behaviour of your source code.
@ParameterizedTest
@NullSource
void checkNull(String value) {
	assertEquals(null, value);
}

@ParameterizedTest
@EmptySource
void checkEmpty(String value) {
	assertEquals("", value);
}
  • We can also combine the passing of null and empty inputs using @NullAndEmptySource.
@ParameterizedTest
@NullAndEmptySource
void checkNullAndEmpty(String value) {
	assertTrue(value == null || value.isEmpty());
}
  • Another trick to pass null, empty and blank input values is to combine the @NullAndEmptySource and @ValueSource(strings = { " ", " " }) to cover all possible negative scenarios.
@ParameterizedTest
@NullAndEmptySource
@ValueSource(strings = { " ", "   " })
void checkNullEmptyAndBlank(String value) {
	assertTrue(value == null || value.isBlank());
}

@MethodSource

This annotation allows us to load the inputs from one or more factory methods of the test class or external classes. Each factory method must generate a stream of arguments.

  • Explicit method source - The test will try to load the supplied method.
// Note: The test will try to load the supplied method
@ParameterizedTest
@MethodSource("checkExplicitMethodSourceArgs")
void checkExplicitMethodSource(String word) {
   assertTrue(StringUtils.isAlphanumeric(word), 
              "Supplied word is not alpha-numeric");
}

static Stream<String> checkExplicitMethodSourceArgs() {
   return Stream.of("a1", 
                    "b2");
}
  • Implicit method source - The test will search for the source method that matches the test-case method name.
// Note: The test will search for the source method 
// that matches the test-case method name
@ParameterizedTest
@MethodSource
void checkImplicitMethodSource(String word) {
	assertTrue(StringUtils.isAlphanumeric(word), 
               "Supplied word is not alpha-numeric");
}

static Stream<String> checkImplicitMethodSource() {
  return Stream.of("a1", 
                   "b2");
}
  • Multi-argument method source - We must pass the inputs as a Stream of Arguments. The test will automatically map arguments based on the index.
// Note: The test will automatically map arguments based on the index
@ParameterizedTest
@MethodSource
void checkMultiArgumentsMethodSource(int number, String expected) {
	assertEquals(StringUtils.equals(expected, "even") ? 0 : 1, number % 2);
}

static Stream<Arguments> checkMultiArgumentsMethodSource() {
  	return Stream.of(Arguments.of(2, "even"), 
	                 Arguments.of(3, "odd"));
}
  • External method source - The test will try to load the external method.
// Note: The test will try to load the external method
@ParameterizedTest
@MethodSource(
"source.method.ExternalMethodSource#checkExternalMethodSourceArgs")
void checkExternalMethodSource(String word) {
	assertTrue(StringUtils.isAlphanumeric(word), 
               "Supplied word is not alpha-numeric");
}
package source.method;
import java.util.stream.Stream;

public class ExternalMethodSource {
	static Stream<String> checkExternalMethodSourceArgs() {
		return Stream.of("a1", 
		                 "b2");
	}
}

@CsvSource

This annotation will allow us to pass argument lists as comma-separated values (i.e. CSV String literals). Each CSV record results in one execution of the parameterized test. There is also a possibility of skipping the CSV header using the attribute useHeadersInDisplayName.

@ParameterizedTest
@CsvSource({ "2, even", 
             "3, odd"})
void checkCsvSource(int number, String expected) {
	assertEquals(StringUtils.equals(expected, "even") 
	             ? 0 : 1, number % 2);
}

@CsvFileSource

This annotation lets us use comma-separated value (CSV) files from the classpath or the local file system. Similar to @CsvSource, here also, each CSV record results in one execution of the parameterized test. It also supports various other attributes - numLinesToSkip, useHeadersInDisplayName, lineSeparator, delimiterString etc.

Example 1: Basic implementation

@ParameterizedTest
@CsvFileSource(
  files = "src/test/resources/csv-file-source.csv", 
  numLinesToSkip = 1)
void checkCsvFileSource(int number, String expected) {
	assertEquals(StringUtils.equals(expected, "even") 
				 ? 0 : 1, number % 2);
}

src/test/resources/csv-file-source.csv

NUMBER, ODD_EVEN
2, even
3, odd

Example 2: Using attributes

@ParameterizedTest
@CsvFileSource(
	files = "src/test/resources/csv-file-source_attributes.csv", 
	delimiterString = "|",
	lineSeparator = "||",
	numLinesToSkip = 1)
void checkCsvFileSourceAttributes(int number, String expected) {
	assertEquals(StringUtils.equals(expected, "even") 
                 ? 0 : 1, number % 2);
}

src/test/resources/csv-file-source_attributes.csv

|| NUMBER | ODD_EVEN ||
|| 2 	  | even     ||
|| 3 	  | odd	     ||

@EnumSource

This annotation provides a convenient way to use Enum constants as test-case arguments. Attributes supported -

  • value - The enum class type, example - ChronoUnit.class
package java.time.temporal;

public enum ChronoUnit implements TemporalUnit {
	SECONDS("Seconds", Duration.ofSeconds(1)),
	MINUTES("Minutes", Duration.ofSeconds(60)),
    HOURS("Hours", Duration.ofSeconds(3600)),
	DAYS("Days", Duration.ofSeconds(86400)),
	//12 other units
}

The ChronoUnit is an enum type that contains standard date period units.

@ParameterizedTest
@EnumSource(ChronoUnit.class)
void checkEnumSourceValue(ChronoUnit unit) {
   assertNotNull(unit);
}

@EnumSource will pass all 16 ChronoUnit enums as an argument in this example.

  • names - The names of enum constants to provide, or regular expression to select the names, example - DAYS or ^.*DAYS$
@ParameterizedTest
@EnumSource(names = { "DAYS", "HOURS" })
void checkEnumSourceNames(ChronoUnit unit) {
	assertNotNull(unit);
}

@ArgumentsSource

This annotation provides a custom, reusable ArgumentsProvider. The implementation of ArgumentsProvider must be an external or a static nested class.

  • External arguments provider
public class ArgumentsSourceTest {

	@ParameterizedTest
	@ArgumentsSource(ExternalArgumentsProvider.class)
	void checkExternalArgumentsSource(int number, String expected) {
		assertEquals(StringUtils.equals(expected, "even") 
					? 0 : 1, number % 2, 
					"Supplied number " + number + 
					" is not an " + expected + " number");
	}
}

public class ExternalArgumentsProvider implements ArgumentsProvider {

	@Override
	public Stream<? extends Arguments> provideArguments(
		ExtensionContext context) throws Exception {

		return Stream.of(Arguments.of(2, "even"), 
			             Arguments.of(3, "odd"));
	}
}
  • Static nested arguments provider
public class ArgumentsSourceTest {

	@ParameterizedTest
	@ArgumentsSource(NestedArgumentsProvider.class)
	void checkNestedArgumentsSource(int number, String expected) {
		assertEquals(StringUtils.equals(expected, "even") 
                    ? 0 : 1, number % 2,
			     	"Supplied number " + number + 
					" is not an " + expected + " number");
	}

	static class NestedArgumentsProvider implements ArgumentsProvider {

		@Override
		public Stream<? extends Arguments> provideArguments(
			ExtensionContext context) throws Exception {

			return Stream.of(Arguments.of(2, "even"),
                         	 Arguments.of(3, "odd"));
		}
	}
}

Argument Conversion

First of all, imagine without Argument Conversion, we would have to deal with the argument data type ourselves.

Source method: Calculator class

public int sum(int a, int b) {
	return a + b;
}

Testcase:

@ParameterizedTest
@CsvSource({ "10, 5, 15" })
void calculateSum(String num1, String num2, String expected) {
	int actual = calculator.sum(Integer.parseInt(num1), 
								Integer.parseInt(num2));
	assertEquals(Integer.parseInt(expected), actual);
}

If we have String arguments and the source method we are testing accepts Integers, it becomes our responsibility to make this conversion before calling the source method.

Different argument conversions made available by the JUnit5 are

  • Widening Primitive Conversion
@ParameterizedTest
@ValueSource(ints = { 2, 4 })
void checkWideningArgumentConversion(long number) {
	assertEquals(0, number % 2);
}

The parameterized test annotated with @ValueSource(ints = { 1, 2, 3 }) can be declared to accept an argument of type int, long, float, or double.

  • Implicit Conversion
@ParameterizedTest
@ValueSource(strings = "DAYS")
void checkImplicitArgumentConversion(ChronoUnit argument) {
	assertNotNull(argument.name());
}

JUnit5 provides several built-in implicit type converters. The conversion depends on the declared method argument type. Example - The parameterized test annotated with @ValueSource(strings = "DAYS") converted implicitly to an argument type ChronoUnit.

  • Fallback String-to-Object Conversion
@ParameterizedTest
@ValueSource(strings = { "Name1", "Name2" })
void checkImplicitFallbackArgumentConversion(Person person) {
	assertNotNull(person.getName());
}

public class Person {
	private String name;
	public Person(String name) {
		this.name = name;
	}
	//Getters & Setters
}

JUnit5 provides a fallback mechanism for automatic conversion from a String to a given target type if the target type declares exactly one suitable factory method or a factory constructor. Example - The parameterized test annotated with @ValueSource(strings = { "Name1", "Name2" }) can be declared to accept an argument of type Person that contains a single field name of type string.

  • Explicit Conversion
@ParameterizedTest
@ValueSource(ints = { 100 })
void checkExplicitArgumentConversion(
	@ConvertWith(StringSimpleArgumentConverter.class) String argument) {
	assertEquals("100", argument);
}

public class StringSimpleArgumentConverter extends SimpleArgumentConverter {

	@Override
	protected Object convert(Object source, Class<?> targetType) 
		throws ArgumentConversionException {
		return String.valueOf(source);
	}
}

For a reason, if you don’t want to use the implicit argument conversion, then you can use @ConvertWith annotation to define your argument converter. Example - The parameterized test annotated with @ValueSource(ints = { 100 }) can be declared to accept an argument of type String using StringSimpleArgumentConverter.class which converts an integer to string type.

Argument Aggregation

@ArgumentsAccessor

By default, each argument provided to a @ParameterizedTest method corresponds to a single method parameter. Due to this, when argument sources that supply a large number of arguments can lead to large method signatures. To solve this problem, we can use ArgumentsAccessor instead of declaring multiple parameters. The type conversion is supported as discussed in Implicit conversion above.

@ParameterizedTest
@CsvSource({ "John, 20", 
		     "Harry, 30" })
void checkArgumentsAccessor(ArgumentsAccessor arguments) {
	Person person = new Person(arguments.getString(0), 
							   arguments.getInteger(1));
	assertTrue(person.getAge() > 19, person.getName() + " is a teenager");
}

Custom Aggregators

We saw using an ArgumentsAccessor can access the @ParameterizedTest method’s arguments directly. What if we want to declare the same ArgumentsAccessor in multiple tests? JUnit5 solves this by providing custom, reusable aggregators.

  • @AggregateWith
@ParameterizedTest
@CsvSource({ "John, 20", 
			 "Harry, 30" })
void checkArgumentsAggregator(
	@AggregateWith(PersonArgumentsAggregator.class) Person person) {
	assertTrue(person.getAge() > 19, person.getName() + " is a teenager");
}

public class PersonArgumentsAggregator implements ArgumentsAggregator {

	@Override
	public Object aggregateArguments(ArgumentsAccessor arguments, 
		ParameterContext context) throws ArgumentsAggregationException {

		return new Person(arguments.getString(0),       
                          arguments.getInteger(1));
	}
}

Implement the ArgumentsAggregator interface and register it via the @AggregateWith annotation in the @ParameterizedTest method. When we execute the test, it provides the aggregation result as an argument for the corresponding test. The implementation of ArgumentsAggregator can be an external class or a static nested class.

Bonus

Since you have read the article to the end, I would like to give you a bonus - If you’re using assertion frameworks like - Fluent assertions for java you can pass the java.util.function.Consumer as an argument that holds the assertion itself.

@ParameterizedTest
@MethodSource("checkNumberArgs")
void checkNumber(int number, Consumer<Integer> consumer) {
	consumer.accept(number);	
}

static Stream<Arguments> checkNumberArgs() {	
	Consumer<Integer> evenConsumer = 
			i -> Assertions.assertThat(i % 2).isZero();
	Consumer<Integer> oddConsumer = 
			i -> Assertions.assertThat(i % 2).isEqualTo(1);

	return Stream.of(Arguments.of(2, evenConsumer), 
		             Arguments.of(3, oddConsumer));
}

Summary

JUnit5’s parameterized tests feature allows for efficient testing by eliminating the need for duplicate test cases and providing the capability to run the same test multiple times with varying inputs. This not only saves time and effort for the development team, but also increases the coverage and effectiveness of the testing process. Additionally, this feature allows for more comprehensive testing of the source code, as it can be tested with a wider range of inputs, increasing the chances of identifying any potential bugs or issues. Overall, JUnit5’s parameterized tests are a valuable tool for improving the quality and reliability of the code.

Written By:

Pralhad Hadimani

Written By:

Pralhad Hadimani

As a professional software engineer, I have always loved to code. Here is my attempt to share knowledge, contribute to the greater community and engage with extraordinary people around the world. I strongly believe in one of the famous quotes by Stan Lee - "With great power comes great responsibility".

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