en.Wedoany.com Reported - June 1, Somerville, Massachusetts — SmartBear today announced the launch of the first unified testing platform that integrates attribute-based, OCR, and visual AI technologies, aiming to expand test coverage, reduce risk, and understand and interact with application interfaces in a way that mimics human perception. This capability enables automated testing of highly visual applications, which have traditionally relied heavily on manual testing due to their complexity, often leading to insufficient test coverage and increased risk exposure.
As AI accelerates code and application creation, automating tests for all applications becomes increasingly critical. This TestComplete upgrade is particularly valuable for key business scenarios such as 3D applications like CAD, canvas-based applications like Google Maps, virtualized environments like Citrix, and desktop and web applications with complex graphics and charts, including Tableau, SAP, and Oracle.
Without automated testing for highly visual applications, new application releases or updates may face delays. More commonly, manual testing may not be rigorous enough due to time-to-market pressures, posing potential business risks for enterprises. When critical business applications such as financial charts or graphics do not perform as expected, business analysis may be delayed, or information used for decision-making may be misinterpreted.
Prashant Mohan, Vice President of Products at SmartBear, stated that AI writes code faster than humans or traditional automated testing, and visual applications have been an area where automated testing has not effectively covered. By introducing visual AI, TestComplete helps bridge this AI-generated testing gap, enabling teams to automate testing in scenarios where it is most needed—such as visual critical business applications—thereby reducing risk and expanding test coverage.
TestComplete now offers an industry-first visual object detection method with capabilities comparable to human perception, while current market alternatives often limit AI to web-based testing. The core advantage of this method lies in its flexible object recognition mechanism: teams can capture and identify objects in multiple ways, enabling more reliable testing of different application technologies and complex UIs compared to tools with a single recognition method. The addition of visual AI further enhances this capability—when traditional object attributes are limited, unstable, or unavailable, TestComplete can identify UI elements visually. It mimics the human eye in evaluating applications rather than replicating code-based attributes.
This testing approach makes tests more resilient to subtle application changes, helping produce more stable test results and increasing release confidence. Additionally, test maintenance becomes simpler because TestComplete tests how the application should behave, rather than how the underlying code should function. Teams can automate regression tests and keep pace with application iteration without extensive code modifications, saving significant time and creating a competitive advantage.
With TestComplete's expanded automated test coverage and simplified maintenance processes, testing teams can accelerate release cycles and focus more on quality rather than code revisions—a critical advantage in the era of AI-driven development accelerating application delivery.
The new features complement TestComplete's existing attribute-based and text extraction object recognition capabilities, covering the most comprehensive automated testing scenarios on the market. This enhancement is now available and is part of SmartBear's commitment to delivering AI-driven innovation across the entire software development lifecycle. TestComplete is a core component of SmartBear's integrated solution, enabling management, automation, and execution of all tests within a single platform to help customers achieve application integrity.
SmartBear is dedicated to providing application integrity for the modern technology stack, ensuring continuous, measurable software assurance—operating at AI speed and scale with governance capabilities. The company offers deep test automation, API lifecycle management, and observability capabilities, setting new quality standards for application delivery teams through SDLC integration. Trusted by over 16 million developers, testers, and software engineers, SmartBear serves more than 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. Its well-known brands include Swagger, TestComplete, Reflect, QMetry, Zephyr, and others.
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