Who: Quality Engineers, Test Automation Engineers (TAE), Performance Test Engineer (PTE)
When: End-to-End testing is typically conducted at the end of the Program Increment (PI) in the Scaled Agile development process. It occurs after the individual components and features have been developed and integrated into the system.
Tools/Technology
The choice of tools or technology for End-to-End testing may vary depending on the specific requirements and characteristics of the software project.
UTAF (Unified Test Automation Framework): A framework that provides a unified approach to automate system integration testing across different components and technologies.
qTest: A test management tool that helps manage and track system integration test cases, defects, and overall testing progress
API testing tools (e.g., Postman, SoapUI) for validating the interactions and integrations between different system components through APIs.
Performance testing tools (e.g., Apache JMeter, BlazeMeter) for assessing the system's performance and scalability during end-to-end testing.
Monitoring and logging tools (e.g., XX) for capturing and analyzing real-time data and logs to ensure the smooth flow of end-to-end user journeys.
Purpose
End-to-End testing aims to validate a feature or application's entire user journey or workflow, simulating real-world scenarios and interactions. It ensures that all the integrated components, systems, and interfaces work together as expected to deliver the desired functionality to end-users.
End-to-End testing focuses on testing the complete flow of a feature, from the user's perspective, starting from the initial interaction to the final outcome. It verifies the seamless integration and collaboration between various modules, subsystems, and external interfaces, ensuring that the end-to-end process works correctly.
To perform End-to-End testing, regression test cases are stitched together to form user journeys that span multiple components or modules. These user journeys represent typical scenarios that users may encounter while interacting with the software. By executing these end-to-end test scenarios, the testing team can identify any defects, issues, or bottlenecks that may arise during the complete user journey.
Automation is recommended for achieving high coverage and efficiency in End-to-End testing. Test automation frameworks can be utilized to automate the execution of end-to-end test scenarios, reducing manual effort and ensuring consistent and reliable results. Automated End-to-End tests can be integrated into the continuous testing pipeline, enabling frequent execution and faster feedback on the system's behavior.
End-to-End testing provides valuable insights into the system's overall performance, reliability, and usability. It helps identify any gaps or inconsistencies in the user experience, integration points, or data flow. By validating the end-to-end user journeys, organizations can ensure that their software meets the expectations and requirements of end-users and delivers a seamless and satisfactory experience.
Overall, End-to-End testing plays a crucial role in assuring the quality and effectiveness of software by validating the complete user journey. It helps uncover potential issues, bottlenecks, or regressions that may occur when different components are integrated, ensuring a smooth and error-free user experience.
