Preparing for a future of intelligence and productivity.
Save up to one third of your time by identifying and eliminating test case redundancies. Apply artificial intelligence and machine learning techniques to improve testing productivity.
Prevent regression failures by accurately identifying and resolving defective components. Get insights into probable errors and problem areas through intelligent analytics.
Ensure better coverage and identify defects early. Save time and manual effort by auto-mapping of requirements with test cases. Explore the tools that can make automation easy to implement and quick to learn.
Mine test scenarios and execute appropriate test cases based on potential application failure areas. Detect high risk areas and decide the right test cases to be executed.
Get a graphical view of the component interactions without the need for programming techniques. Visual engineering and testing makes it accurate and actionable when it comes to defect management.
Analyze user reactions efficiently by collating feedback and automatically analyzing positive comments and negative signals. Early analysis means quick resolutions.