Webinar Replays
Excel as a test case management tool seems like such a good idea–at first. Cut to 6 months and 60 spreadsheets later, when you need to reuse something from that first spreadsheet–do you know where it is? And can you be sure the information is still up-to-date?
This year, mobile usage continued to rise, and with that came many challenges that organizations needed to solve. Whether it was performance, visual, security, or strategic issues, development and QA teams needed to be one step ahead in order to live up to the high expectations of their leadership, and just as importantly, their customers.
CI/CD is not a one-size-fits all solution. Using CI/CD to run automated UI tests as part of the build process, be it in a headless or a headed-UI mode, requires carefully picking the tools, strategies, and tests to run in the pipeline. It requires a cultural shift in every organization, especially the ones that still practice entirely manual UI testing.
Test data is critical because it impacts the quality software testing. It doesn’t make sense to test your software with completely meaningless data or risk working with production data. It’s essential to have a mix of different strategies to generate test data.
Over 76% of organizations are undergoing DevOps adoption, speeding up throughput and release frequency. At the same time, expectations for great customer experiences are increasing, with 32% of users leaving brands after their first poor interaction. This puts a spotlight on testers: how do we deliver quality software while moving at the speed of DevOps?
Test data that’s realistic, useful, AND safe? That’s a tall order. Quality test data that checks off each of those boxes can be hard to find. How can you get your test engineers and developers the data they need?
In 2022, mobile apps are becoming more complex, teams are rapidly releasing new features, and the number of devices and operating systems is ever-growing. Testing for a seamless user experience doesn’t start or end with your app – it involves the deep links to get there, the push notifications to bring users back, interacting with a peripheral device, background interactions, handling web views within a native app, and so much more. Your team might already be covering some of these tests manually! We’ll talk through the challenges with existing mobile testing frameworks, why physical device testing is so important, opportunities to automate physical device testing, and how engineering teams can achieve greater efficiency and catch critical bugs without spending more time on testing.
In 2022, mobile apps are becoming more complex, teams are rapidly releasing new features, and the number of devices and operating systems is ever-growing. Testing for a seamless user experience doesn’t start or end with your app – it involves the deep links to get there, the push notifications to bring users back, interacting with a peripheral device, background interactions, handling web views within a native app, and so much more. Your team might already be covering some of these tests manually! We’ll talk through the challenges with existing mobile testing frameworks, why physical device testing is so important, opportunities to automate physical device testing, and how engineering teams can achieve greater efficiency and catch critical bugs without spending more time on testing.
Artificial intelligence (AI) is here, and many in the testing world are learning how to leverage this new technology. Whether you’re trying to capitalize on AI in testing, interested in learning how to start on your automation journey, or curious how AI will impact your career, our expert speakers will give you the answers you need.Join us on June 9th for The Truth of AI in Automation, and learn how AI in test automation can turn you into a super-tester, while improving efficiency across your testing team.








