By automating repetitive tasks, Muah AI streamlines product testing, increases accuracy in testing and reduces the time of entire testing cycles by many folds. According to research by Capgemini, the testing processes driven by AI can decrease the time to be spent on testing up to 30%, allowing products to be released faster without sacrificing quality. Automated testing by Muah AI tracks bugs and performance issues as they develop, preventing expensive post-launch complications.
A patent-pending methodology of regression testing for built-in protection against existing functionality failures due to new code integrations (a core benefit of Muah AI). Regression testing = 50% of our software development time, AI-powered automatic brings this down to half enabling shorter development cycles. Take Microsoft, for example – They use AI for regression testing and prevent excellent problems with their product updates to a great level.
It can also load test by simulated high-traffic conditions so that companies will be able to assess the performance of their products under stress using Muah AI. When it comes to e-commerce and other sectors, where hours of inactivity can mean huge losses in revenues, efficient load testing becomes crucial. A report by IBM says that a company can lose as much as $5,600 per minute of downtime. Muah AI reduces these threats through early stress point detection to ensure an application is able to manage load peaks without issues.
Muah AI helps that too — By emphasizing user experience, attention to UI testing is also necessary. Muah AI uses intelligent automated test creation using AI and reduces manual testing time up to 70% which is perfect for applications with complex user interactions. It is the same AI-based UI testing that Amazon applies to create an intuitive navigation and layout for your customers, which is a must as it will keep users on the page longer. In turn, Muah AI improves UI testing precision leading to a minimum of functional errors and layout defects, an essential element of user satisfaction.
Muah AI builds predictive analytics to make testing even better by mimicking actual user behaviour, predicting possible issues and tuning products based on the findings. Muah AI can predict user behavior at an 85% accuracy rate, which helps companies tailor features to their audience before going live and avoiding the far-reaching ramifications of post-launch updates. AI helps in removing bugs by 35% from final releases, boosting retention and user experience for gaming companies whose success depends on them as per a report presented at the Game Developers Conference.
John Ruskin once said, “Quality is never an accident; it is always the result of intelligent effort.” Muah AI leverages this principle of intelligent testing to help the enterprise achieve greater levels of product quality through data-driven insights and automated testing. The granular testing insights offered by Muah AI offer a simple path to improvement, increasing reliability and quality of the product classes.
Muah ai already reduce cycle timing of product testing, savings and are more precise. muah ai revolutionizes quality assurance by automating core testing processes, ensuring products are up to par while accelerating development timelines.