Test performance, in the context of software testing, typically refers to the speed and efficiency with which test cases are executed. This includes the time it takes to run the entire test suite or individual tests, as well as the system resources (such as CPU, memory, disk I/O) consumed during test execution. High test performance is desirable as it enables faster feedback cycles, which is especially valuable in continuous integration/continuous delivery (CI/CD) environments where tests are run frequently. Factors affecting test performance may include the efficiency of the test code, the size and complexity of the software under test, the performance of any dependencies (like databases or web servers), and the capacity of the testing infrastructure. Techniques for improving test performance may involve optimizing test code, parallelizing test execution, and using more powerful hardware or cloud resources for testing.
We will dissect the intricacies of using Playwright across various web browsers, providing insights into performance variations, strengths, and potential weaknesses.
Let's dive into managing worker processes, parallelizing tests in a single file, and controlling the test order for the best possible efficiency.
As a software QA engineer, you might encounter situations where ads interfere with your test automation scripts, causing unexpected failures. To ensure a smooth and efficient testing experience, we will examine several techniques to block ads using the Playwright framework.
Rayrun is a community for QA engineers. I am constantly looking for new ways to add value to people learning Playwright and other browser automation frameworks. If you have feedback, email firstname.lastname@example.org.