Can this skill handle utilities with complex dependencies?

While primarily designed for pure functions, it includes patterns for using Mockito when a utility occasionally requires an external dependency like a Clock or specific configuration.

Does it support data-driven testing?

Yes, it provides specific guidance and examples for using @ParameterizedTest with @ValueSource and @CsvSource to test multiple inputs with minimal boilerplate.

Which assertion library does this skill use?

The skill focuses on AssertJ for its readable and fluent API, though the testing logic is compatible with standard JUnit 5 assertions.

Is it suitable for testing legacy static helper classes?

Absolutely; it provides the structure needed to wrap existing utility logic with comprehensive safety nets, boundary checks, and null-handling verification.

JUnit 5 Utility & Static Method Testing

Name: JUnit 5 Utility & Static Method Testing
Author: pur3v4d3r

bypur3v4d3r

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Seguridad y Pruebas

Automates the creation of comprehensive JUnit 5 tests for static utility classes and pure functions.

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This skill provides a standardized framework for testing stateless utility methods, ensuring high code coverage and reliability for helper classes. It guides developers through testing edge cases, boundary conditions, and null-safety scenarios using JUnit 5 and AssertJ. By focusing on pure functions, it helps maintain a clean codebase through robust verification of string manipulations, mathematical calculations, and collection transformations without the overhead of complex mocking.

Características Principales

Edge case and boundary condition coverage patterns
Null-safety and exception handling verification logic
Advanced parameterized testing for data-driven validation
Standardized JUnit 5 templates for static helper methods
1 GitHub stars
Fluent assertions integration using AssertJ

Casos de Uso

Validating data formatters and parsers across multiple input scenarios
Verifying business logic in pure mathematical or string transformation functions
Ensuring collection utilities handle null, empty, and large data sets correctly

Acerca de

Características Principales

Edge case and boundary condition coverage patterns
Null-safety and exception handling verification logic
Advanced parameterized testing for data-driven validation
Standardized JUnit 5 templates for static helper methods
1 GitHub stars
Fluent assertions integration using AssertJ

Casos de Uso

Validating data formatters and parsers across multiple input scenarios
Verifying business logic in pure mathematical or string transformation functions
Ensuring collection utilities handle null, empty, and large data sets correctly