JUnit 6 and TestNG are the two most widely used Java testing frameworks, and many teams face the choice between them when starting a new project or evaluating a migration. This guide gives you a detailed, honest, side-by-side comparison of every major feature — with real code examples for each — so you can make an informed decision based on your team’s actual needs.

Quick Summary: Which Should You Choose?

Annotation Comparison

Writing tests is the most time-consuming part of software development for many Java teams. AI-powered test generation is changing that. Tools like GitHub Copilot, JetBrains AI Assistant, Diffblue Cover, and EvoSuite can generate JUnit 6 test skeletons, suggest edge cases, and even produce fully runnable test methods from your production code. This guide explores what these tools can and cannot do, shows real examples of AI-generated tests, and gives you a practical workflow for using AI assistance while maintaining test quality.

What AI Test Generation Can Do Today

Workflow 1: GitHub Copilot in IntelliJ IDEA

With GitHub Copilot installed, start typing a test method and Copilot suggests completions based on your production code context:

// Production class:
public class EmailValidator {
    public boolean isValid(String email) {
        if (email == null || email.isBlank()) return false;
        return email.matches("^[A-Za-z0-9+_.-]+@[A-Za-z0-9.-]+.[A-Za-z]{2,}$");
    }
}

// You type the class declaration and first @Test, Copilot fills in the rest:
class EmailValidatorTest {

    private final EmailValidator validator = new EmailValidator();

    // -- GitHub Copilot generated the following tests --

    @Test
    @DisplayName("Valid email address returns true")
    void validEmailAddressReturnsTrue() {
        assertTrue(validator.isValid("[email protected]"));
    }

    @Test
    @DisplayName("Null email returns false")
    void nullEmailReturnsFalse() {
        assertFalse(validator.isValid(null));
    }

    @Test
    @DisplayName("Empty email returns false")
    void emptyEmailReturnsFalse() {
        assertFalse(validator.isValid(""));
    }

    @Test
    @DisplayName("Email without @ returns false")
    void emailWithoutAtSignReturnsFalse() {
        assertFalse(validator.isValid("userexample.com"));
    }

    // Copilot also suggested:
    @ParameterizedTest(name = "Valid: {0}")
    @ValueSource(strings = {
        "[email protected]",
        "[email protected]",
        "[email protected]"
    })
    void validEmailFormatsReturnTrue(String validEmail) {
        assertTrue(validator.isValid(validEmail),
            validEmail + " should be a valid email");
    }

    @ParameterizedTest(name = "Invalid: {0}")
    @NullAndEmptySource
    @ValueSource(strings = {"plainaddress", "@missing-local.com", "missing-tld@example"})
    void invalidEmailFormatsReturnFalse(String invalidEmail) {
        assertFalse(validator.isValid(invalidEmail),
            invalidEmail + " should be an invalid email");
    }
}

Example-based tests verify that your code behaves correctly for the specific inputs you think of. Property-based testing takes a different approach: you define the properties your code must satisfy — invariants that should hold for all valid inputs — and the framework generates hundreds or thousands of inputs automatically to try to falsify them. This finds edge cases you would never think to write yourself. jqwik is the leading property-based testing library for the JUnit Platform, and this guide covers everything you need to use it effectively.

Example-Based vs Property-Based Testing

Setup: Adding jqwik

<dependency>
    <groupId>net.jqwik</groupId>
    <artifactId>jqwik</artifactId>
    <version>1.9.0</version>
    <scope>test</scope>
</dependency>

<!-- jqwik runs on the JUnit Platform — ensure Surefire is 3.x -->
<plugin>
    <groupId>org.apache.maven.plugins</groupId>
    <artifactId>maven-surefire-plugin</artifactId>
    <version>3.2.5</version>
</plugin>

Your First Property: The Basics

Replace @Test with @Property and add annotated parameters. jqwik generates values for them automatically:

import net.jqwik.api.*;
import static org.junit.jupiter.api.Assertions.*;

class StringUtilsPropertyTest {

    // @Property runs this test ~1000 times with different random String values
    // @ForAll means jqwik generates arbitrary values of that type
    @Property
    void reversingAStringTwiceYieldsOriginal(@ForAll String anyString) {
        // Property: reverse(reverse(s)) == s for ANY string
        String reversed = StringUtils.reverse(anyString);
        String doubleReversed = StringUtils.reverse(reversed);

        assertEquals(anyString, doubleReversed,
            "Reversing any string twice must return the original string");
    }

    @Property
    void reversedStringHasSameLength(@ForAll String anyString) {
        // Property: reversing a string never changes its length
        assertEquals(anyString.length(), StringUtils.reverse(anyString).length(),
            "Reversed string must have same length as original");
    }
}

Output:
tries = 1000                   | # of generated test cases
checks = 1000                  | # that satisfied constraints
seed = -2947183742894765392    | reproducibility seed

✔ reversingAStringTwiceYieldsOriginal (1000 tries)
✔ reversedStringHasSameLength (1000 tries)

Everyone makes testing mistakes — but the same mistakes get made over and over by developers at every experience level. This guide collects the most damaging and most common JUnit testing anti-patterns, explains exactly why each is harmful, and shows the correct approach with before/after code. Every example below uses current JUnit 6 (Jupiter) API — org.junit.jupiter.api.Assertions static imports, current annotations — and calls out the spots where JUnit 6 specifically changes the calculus versus JUnit 5. Work through this list once and you will never make these mistakes again.

Mistake 1: Testing Implementation, Not Behaviour

The most fundamental mistake. Tests that verify how code works internally break every time the implementation changes, even if the behaviour stays correct.

// WRONG: tests internal implementation details
@Test
void testOrderService() {
    orderService.placeOrder(order);
    // Verifying internal calls — breaks if you refactor without changing behaviour
    verify(orderRepository).findByCustomerId(anyLong());
    verify(cacheService).invalidate("orders:customer:1");
    verify(metricsService).increment("orders.placed");
    verify(auditLogger).log(any(AuditEvent.class));
    // This test breaks if you rename a method, add a cache layer, or change logging
}

// CORRECT: tests observable behaviour
@Test
@DisplayName("Placing an order persists it and confirms via email")
void placingOrderPersistsItAndSendsConfirmation() {
    Order placed = orderService.placeOrder(order);

    // Verify what the consumer of this service observes
    assertNotNull(placed.getId(),              "Order must be assigned an ID");
    assertEquals(OrderStatus.CONFIRMED,        placed.getStatus());
    verify(emailService).sendConfirmation(order.getCustomerEmail()); // external contract
    // Internal caching, metrics, auditing: tested in their own unit tests
}

Mistake 2: Assertions Without Messages

// WRONG: failure message is cryptic
assertEquals("CONFIRMED", order.getStatus().name());
// Failure: expected:  but was: 
// No context: WHICH order? After WHAT operation? In WHAT test scenario?

// CORRECT: failure message explains context
assertEquals(OrderStatus.CONFIRMED, order.getStatus(),
    "Order should be CONFIRMED after successful payment authorisation, "
    + "got: " + order.getStatus()
    + ", payment result: " + order.getPaymentResult());
// Failure message now contains everything needed to diagnose without running the test again