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Follow on Google News | SmartBear Releases Automated Visual Testing for Greater Visibility into Costly Visual ErrorsAI-driven VisualTest quickly shows developers visual bugs and defects across devices before deployment, ensuring a better application experience
By: SmartBear "Customer experience is critical for online businesses, especially now in a fiercely competitive environment," According to Amazon Web Services (https://startupbonsai.com/ With VisualTest, developers gain visibility into the design-and-build phase of the application with next-generation machine learning and AI engine tracking several types of visual changes. VisualTest ignores false positives while highlighting key differences, saving developers time and enhancing their applications. VisualTest essentially replicates the human eye for finding and catching visual errors that are not always detected through traditional functional or end-to-end testing. Using AI to run visual tests allows developers to focus only on important changes or differences. This aligns with the SmartBear goal of helping teams deploy with confidence by validating the quality of their UI in much less time. Effective use of AI is critical to solve common testing challenges, especially those related to visual testing. Existing methods of visual testing are unreliable, time consuming, and cumbersome to maintain, and VisualTest fixes these problems through AI and other engineering innovations, significantly improving developer and tester productivity. VisualTest is the latest in the company's powerful and cost-effective suite of tools that give development teams unprecedented confidence in their software releases. For more information, including a free 14-day trial of VisualTest, go to: https://smartbear.com/ All trademarks recognized. # End
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