In performance testing, you need a lot of data to get results that are meaningful for a production context. In this article, Sudhakar Reddy Narra explains why you should not just focus on the quantity, but also on the quality of the data that you are going to use in your tests.
Advances in voice artificial intelligence have greatly transformed the way we interact with digital systems. From smart speakers to sophisticated content creation devices, AI voices are becoming increasingly integral to our daily lives. This growing dependence on man-made speech makes voice quality and speech accuracy a fundamental element of user satisfaction.
In the modern software development lifecycle, test data is as critical as the test cases themselves. Without realistic and diverse datasets, even the most sophisticated automated testing frameworks can fail to detect hidden defects. Traditionally, QA teams have relied on manual creation, production data sampling, or synthetic generation tools. However, with the rise of Generative AI in 2025, the game has changed.
Online gambling is a major hit around the world. Everyone who enjoys games of chance and casino gameplay has at least tried or heard about online gambling. But hold on – is it possible for casinos to offer a fair and reliable experience? How do call bets work in roulette in this case?
Bitrise, mobile DevOps platform, and BrowserStack have announced a partnership on mobile app testing and quality assurance. Through this partnership, existing Bitrise users will receive free exclusive access to BrowserStack App Automate, enabling comprehensive testing across BrowserStack cloud hosting over 20,000 real devices. Similarly, existing App Automate users signing up for Bitrise will be eligible for 15,000 free credits.
So you’re probably sitting there wondering why your testing process feels like complete chaos while other teams seem to have everything figured out. Here’s the thing – most people confuse test plan and test scenario and end up using them wrong. Big mistake. These aren’t interchangeable terms you can throw around randomly.
Internet of Things (IoT) and its related technologies require proper testing, which often comes with several challenges. Since IoT applications must connect and communicate with different platforms, their testing phase is usually hectic.
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