Elevating Software Testing with AI: EinNel’s Success

Niveda R – QA Manager, Software

AI-powered testing tools can analyze large datasets and identify patterns and anomalies that might be overlooked by human testers. They can also perform repetitive tests and simulations at a faster pace, significantly reducing testing time and costs. The EinNel team has implemented an AI-powered tool for visual testing and monitoring.

This AI-based technology can evaluate various user interface elements and offer visual webpage validation. Given that design assessment is typically a task for humans, these tests can be challenging to validate. Automated testing can handle several tasks that would be difficult for a single human, such as collecting screenshots and evaluating loading times.

Impact of AI in QA,

Through the use of this AI tool, EinNel has achieved several significant benefits, including increased test coverage and reduced maintenance efforts. We have accelerated both functional and visual tests by a factor of 30 compared to manual processes. Additionally, we have seamlessly integrated the AI tool into the existing EinNel automation framework by establishing a baseline. As a result, EinNel has effectively integrated AI technology into the software quality assurance field to harness the advantages of eliminating duplicate test cases, addressing high-risk and error-prone areas in applications, and predicting key test parameters for future tests.