Automated Testing Framework with Java, Cucumber, and Docker
Nicolas Koriakos
Automation Engineer
Docker
Java
This project demonstrates my expertise in building a robust automated testing framework using Java, Cucumber, and Docker. The framework is designed to streamline the testing process, providing scalable and reliable automated testing capabilities for web applications and APIs.
Java: The core of the testing framework is built in Java, leveraging the power of the JUnit and TestNG libraries for test execution and reporting. The framework is structured using a modular, object-oriented design, with a clear separation between test logic and test data. This ensures code reusability, maintainability, and ease of extension. The framework includes a comprehensive set of utility classes for handling tasks such as browser interactions, API requests, data parsing, and file operations.
Cucumber: Cucumber is integrated into the framework to enable Behavior-Driven Development (BDD), making the tests more understandable and maintainable. Feature files, written in Gherkin syntax, define the expected behavior of the application in plain English, allowing non-technical stakeholders to understand the test scenarios. Step definition classes in Java map the Gherkin steps to underlying test logic, ensuring that each test scenario is clearly linked to its corresponding automated test. This approach facilitates collaboration between developers, testers, and business analysts.
Docker: Docker is used to containerize the testing environment, ensuring consistency and reliability across different testing setups. The framework includes a Dockerfile and Docker Compose configuration, which define the required environment, including Java, Cucumber, browsers, and any other dependencies. This allows tests to be executed in isolated, reproducible containers, independent of the host system. Docker enables parallel test execution across multiple containers, significantly reducing testing time and providing scalability for larger test suites.
Features:
Cross-Browser Testing: The framework supports testing across multiple browsers, utilizing Selenium WebDriver for browser automation. Browsers are managed in Docker containers, ensuring consistent environments for every test run.
API Testing: The framework includes modules for testing RESTful APIs, validating responses, and checking for compliance with defined schemas. It supports a range of HTTP methods and includes robust error handling and logging.
Data-Driven Testing: Test scenarios can be executed with different data sets using parameterization, allowing comprehensive coverage of various input combinations and edge cases.
Parallel Execution: Docker enables parallel test execution, running multiple scenarios simultaneously in separate containers, drastically reducing overall execution time.
Continuous Integration: The framework is integrated with CI/CD pipelines (e.g., Jenkins, GitHub Actions) to automate test execution on code commits and deployments, providing rapid feedback and improving code quality.
Conclusion: This automated testing framework is a testament to my ability to design and implement scalable, maintainable, and efficient test automation solutions using Java, Cucumber, and Docker. It showcases my proficiency in creating a seamless testing environment that enhances collaboration, reduces testing time, and ensures the reliability of the application under test.
