Systems | Development | Analytics | API | Testing

Maximize your coverage with test parameterization and data-driven testing

When you test application logic and functionality you often have to test the same logic with multiple input values, which can quickly escalate the number of test cases you have to create. Data-driven testing helps you quickly execute the same test multiple times using datasets for different output values, saving you time and effort. Test parameterization is a type of data-driven testing that allows you to execute the same test, multiple times using different parameters.

How to trigger Test Automation with Xray, Jira & GitLab | Xray Tutorial

Our project is managed in Jira, including testing with Xray (e.g. using Jira & Xray for single-source of truth of testing results) and our source code (including for automated tests) and CI/CD is managed in GitLab. In this scenario, we want to trigger automation in GitLab from the Xray side and report the results back to Xray and Jira.

Generate and track in-sprint tests with Xray and Test Modeller

As complex applications change faster than ever, testers must create, prioritize and maintain tests with greater speed and velocity than ever before. In-sprint testing cannot rely on slow and manual test case creation, and maintaining repetitive scripts manually becomes impossible in short iterations. Testing requires an automated and systematic approach to test creation so you can reliably update tests based on the latest changes.