Expert Insights on Playwright Automation: Utilizing Cucumber & Gherkin

Data management is a critical component of software testing that is often overlooked by the QA community. Proper data management involves using a centralized or local database to store data for each test, randomly manipulating some of the data in every test, avoiding deleting the database after each test, implementing effective data segregation, and utilizing a version control system to monitor changes to the data over time. Each test requires a customized approach to data management, but there are general best practices that can be adopted to ensure data integrity and prevent issues like data contamination and test failures due to leftover data from previous tests.