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Description

Prism serves as an advanced test-automation platform designed to enhance the efficiency of software testing across web, mobile, and API domains. It facilitates a seamless setup process through a web interface that intuitively directs users in selecting their preferred testing framework while automatically integrating all essential components. A unified dashboard presents the real-time status of concurrent test executions spanning various platforms, browsers, devices, emulators, and simulators. Additionally, the solution boasts AI and machine learning-driven reporting, featuring over 20 customizable widgets that offer comprehensive insights into both current and past test executions; this functionality allows for in-depth analytics on launch metrics, test coverage, failure patterns, bug classifications, and logged exceptions. To further streamline the testing process, Prism employs a machine-learning algorithm that effectively eliminates false positives and conducts auto-analysis, pattern recognition, and error categorization, leading to a remarkable 90% reduction in analysis workload. The platform not only simplifies the testing journey but also empowers teams to make informed decisions based on reliable data.

Description

Examine the causes of failures right after the testing phase concludes. Create straightforward and easy-to-read reports for your teams. Utilize machine learning-driven auto-analyzers to delve into the reasons behind the failures. Consolidate test outcomes from different platforms, frameworks, and programming languages while delivering actionable insights. Employing machine learning algorithms helps to uncover patterns in the test data, identify the underlying causes of failures, and forecast future testing outcomes. Support the manual examination of test logs and emerging failure patterns from the latest test runs. Enable automated decision-making processes for release pipelines by adhering to defined testing criteria and outcomes. Present test results in a clear format that facilitates monitoring of trends, recognition of patterns, generation of insights, and informed business choices. Regularly assess your product's health and automate release decisions with Quality Gates to enhance efficiency and reliability. This approach not only streamlines the testing process but also significantly contributes to improving overall product quality.