plugins/developer-kit-java/skills/unit-test-parameterized/SKILL.md
Provides parameterized testing patterns with JUnit 5, generates data-driven unit tests using @ParameterizedTest, @ValueSource, @CsvSource, @MethodSource. Creates tests that run the same logic with multiple input values. Use when writing data-driven Java tests, multiple test cases from single method, or boundary value analysis.
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Provides patterns for parameterized unit tests in Java using JUnit 5. Covers @ValueSource, @CsvSource, @MethodSource, @EnumSource, @ArgumentsSource, and custom display names. Reduces test duplication by running the same test logic with multiple input values.
junit-jupiter-params is on test classpath (included in junit-jupiter)@ValueSource for simple values, @CsvSource for tabular data, @MethodSource for complex objectsname = "{0}..." for readable output./gradlew test --info or mvn test and verify all parameter combinations executeJUnit 5 parameterized tests require junit-jupiter (includes params). Add assertj-core for assertions:
<!-- Maven -->
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter</artifactId>
<scope>test</scope>
</dependency>
// Gradle
testImplementation("org.junit.jupiter:junit-jupiter")
@ValueSource — Simple Valuesimport org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import static org.assertj.core.api.Assertions.*;
@ParameterizedTest
@ValueSource(strings = {"hello", "world", "test"})
void shouldCapitalizeAllStrings(String input) {
assertThat(StringUtils.capitalize(input)).isNotEmpty();
}
@ParameterizedTest
@ValueSource(ints = {1, 2, 3, 4, 5})
void shouldBePositive(int number) {
assertThat(number).isPositive();
}
@ParameterizedTest
@ValueSource(ints = {Integer.MIN_VALUE, -1, 0, 1, Integer.MAX_VALUE})
void shouldHandleBoundaryValues(int value) {
assertThat(Math.incrementExact(value)).isGreaterThan(value);
}
@CsvSource — Tabular Dataimport org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.CsvSource;
@ParameterizedTest
@CsvSource({
"[email protected], true",
"[email protected], true",
"invalid-email, false",
"user@, false",
"@example.com, false"
})
void shouldValidateEmailAddresses(String email, boolean expected) {
assertThat(UserValidator.isValidEmail(email)).isEqualTo(expected);
}
@MethodSource — Complex Dataimport org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.MethodSource;
import java.util.stream.Stream;
@ParameterizedTest
@MethodSource("additionTestCases")
void shouldAddNumbersCorrectly(int a, int b, int expected) {
assertThat(Calculator.add(a, b)).isEqualTo(expected);
}
static Stream<Arguments> additionTestCases() {
return Stream.of(
Arguments.of(1, 2, 3),
Arguments.of(0, 0, 0),
Arguments.of(-1, 1, 0),
Arguments.of(100, 200, 300)
);
}
@EnumSource — Enum Values@ParameterizedTest
@EnumSource(Status.class)
void shouldHandleAllStatuses(Status status) {
assertThat(status).isNotNull();
}
@ParameterizedTest
@EnumSource(value = Status.class, names = {"ACTIVE", "INACTIVE"})
void shouldHandleSpecificStatuses(Status status) {
assertThat(status).isIn(Status.ACTIVE, Status.INACTIVE);
}
@ParameterizedTest(name = "Discount of {0}% should be calculated correctly")
@ValueSource(ints = {5, 10, 15, 20})
void shouldApplyDiscount(int discountPercent) {
double result = DiscountCalculator.apply(100.0, discountPercent);
assertThat(result).isEqualTo(100.0 * (1 - discountPercent / 100.0));
}
ArgumentsProviderclass RangeValidatorProvider implements ArgumentsProvider {
@Override
public Stream<? extends Arguments> provideArguments(ExtensionContext context) {
return Stream.of(
Arguments.of(0, 0, 100, true),
Arguments.of(50, 0, 100, true),
Arguments.of(-1, 0, 100, false),
Arguments.of(101, 0, 100, false)
);
}
}
@ParameterizedTest
@ArgumentsSource(RangeValidatorProvider.class)
void shouldValidateRange(int value, int min, int max, boolean expected) {
assertThat(RangeValidator.isInRange(value, min, max)).isEqualTo(expected);
}
@ParameterizedTest
@ValueSource(strings = {"", " ", null})
void shouldThrowExceptionForInvalidInput(String input) {
assertThatThrownBy(() -> Parser.parse(input))
.isInstanceOf(IllegalArgumentException.class);
}
name = "{0}..." for readable output@MethodSource for complex objects, @CsvSource for tabular data@ValueSource limitation: Only supports primitives, strings, and enums — not objects or null directly@CsvSource@MethodSource visibility: Factory methods must be static in the same test class{0}, {1}, etc. to reference parameters@ParameterizedTest APIdevelopment
Provides security review capability for TypeScript/Node.js applications, validates code against XSS, injection, CSRF, JWT/OAuth2 flaws, dependency CVEs, and secrets exposure. Use when performing security audits, before deployment, reviewing authentication/authorization implementations, or ensuring OWASP compliance for Express, NestJS, and Next.js. Triggers on "security review", "check for security issues", "TypeScript security audit".
development
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
tools
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management. One step per invocation. State machine: init → choose_task → implementation → review → fix → cleanup → sync → update_done. Supports --from-task and --to-task for task range filtering. State persisted in fix_plan.json.
testing
Creates, updates, validates, and displays the architectural DNA of a project through two shared documents: docs/specs/architecture.md (technology stack, architectural rules, security constraints, AI guardrails) and docs/specs/ontology.md (domain glossary / Ubiquitous Language). Use BEFORE brainstorm as a project setup step, or at any point in the SDD lifecycle to validate specs/tasks against architecture principles. Triggers on 'create constitution', 'update constitution', 'constitution check', 'validate against constitution', 'project principles', 'architectural guardrails', 'setup project architecture', 'define ontology'.