Visual tests are essential for making sure your website looks good, but they also can be challenging to run if your website has a lot of dynamic elements. In a typical visual regression test, your goal is to compare new website versions against previously set baselines to check that unnecessary changes don’t accidentally get loaded to production.
In the dynamic realm of synthetic monitoring, where ensuring the performance and availability of critical aspects of web applications is a must, an important aspect has been missing – support for monitoring sign-in processes that use Multi-Factor Authentication (MFA). Until now, no synthetic monitoring product on the market has adequately addressed the challenge of monitoring transactions that require the input of MFA code.
Test engineers may recall the fateful day when they confidently deployed the latest version of their application after their functional UI test suite gave the green light. But within hours, bug reports began detailing a mysterious UI element missing for some users but appearing for others. The culprit: a poorly written CSS media query invisible to your test suite.
Manual tests slow down your team and limit test coverage, but implementing UI test automation can sometimes seem daunting. After all, you have a massive application with numerous moving parts, and UI tests are notoriously flaky. So, how can you improve quality and streamline your UI testing efforts? In this article, you’ll learn the difference between test automation and test management, and how integrating the two can unlock a more comprehensive approach to quality.
Software development is a complex process that involves a variety of activities, including design, development, testing, and deployment. Among these, testing is one of the most critical phases, as it ensures that the software product meets the desired quality standards and functions as intended.
Smartphones have advanced greatly since their introduction in the 2000s. From faster GPUs for gaming to advanced instrumentation, these devices are now more computer than phone. Given the limitations of simulators and the complexity of real devices, they've also become a challenge for app developers to test. Biometric authentication, a fast-growing smartphone technology, introduced testing challenges.
Companies today deploy new releases constantly, some even daily. This constant deployment means regular updates are occurring or existing lines of code are being altered, which can cause problems. The slightest change of code can break the functionality of an existing code structure causing the user experience to suffer. Maintaining a visually perfect UI is important for retaining customers.
OpenAI's ChatGPT has become the fastest-growing app of all time – and if you've tried it, that probably doesn't come as a surprise! ChatGPT has become popular for everything from creative tasks like writing a poem to technical tasks like writing code. Meanwhile, the business world is quickly discovering its ability to summarize complex data sets or perform complicated analyses. But, of course, these use cases are just scratching the surface of what may be possible long term.
