Does this skill support parallel test execution?

Yes, it includes patterns for configuring DataProviders with the 'parallel = true' attribute to run tests concurrently across multiple threads.

Can I use this skill to read test data from Excel files?

Yes, the skill provides implementation patterns using Apache POI to extract data from Excel spreadsheets and feed it directly into TestNG DataProviders.

What is the primary benefit of data-driven testing in TestNG?

It separates test logic from test data, allowing a single test method to run multiple times with different inputs, which increases coverage and reduces code duplication.

How does the Factory pattern differ from a DataProvider?

A DataProvider provides arguments to a single test method, while a Factory creates multiple instances of a whole test class, each with its own state and data.

TestNG Data-Driven Testing

Name: TestNG Data-Driven Testing
Author: TheBushidoCollective

byTheBushidoCollective

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Security & Testing

Implements robust data-driven testing patterns using TestNG DataProviders, factories, and external data sources.

About

This skill empowers Claude to architect and implement advanced data-driven testing strategies within Java projects using the TestNG framework. It provides domain-specific patterns for separating test logic from data, managing complex DataProviders (including parallel execution and lazy loading), and integrating external data sources like CSV, JSON, and Excel. By utilizing this skill, developers can create highly scalable, maintainable test suites that provide comprehensive coverage across multiple input sets without code duplication.

Key Features

Dynamic test generation using the TestNG Factory pattern
Advanced parameterization patterns for cross-environment testing
Implementation of simple and context-aware DataProviders
Support for parallel test execution and lazy-loading for large datasets
Integration with external data sources including CSV, JSON, and Excel
39 GitHub stars

Use Cases

Running validation logic against hundreds of different input combinations efficiently
Decoupling test data management from source code using external resource files
Parameterizing cross-browser tests using Factory patterns and configuration data

About

Key Features

Dynamic test generation using the TestNG Factory pattern
Advanced parameterization patterns for cross-environment testing
Implementation of simple and context-aware DataProviders
Support for parallel test execution and lazy-loading for large datasets
Integration with external data sources including CSV, JSON, and Excel
39 GitHub stars

Use Cases

Running validation logic against hundreds of different input combinations efficiently
Decoupling test data management from source code using external resource files
Parameterizing cross-browser tests using Factory patterns and configuration data