Highlights : About Alyvix

Visual synthetic monitoring of apps

Automatic GUI interaction

Application performance tracking

Test cases monitoring on virtualized and black-boxed apps

Graphic element detection

Control outputs

Test case migration
Product Details
Features
Visual synthetic monitoring of apps
Computer vision
Automatic GUI interaction
Application automation
Performance visualization
HTML reporting
Application availability and responsiveness measurement
Application performance tracking
End-user experience testing
Test cases monitoring on virtualized and black-boxed apps
User transaction defining
Graphic element detection
Graphics regions of interest
Test case building
Performance charting
Event notification
Windows performance monitor
Benefits
Graphics detector
The Alyvix Engine enables the platform to act like a human user and perform actions similar to what a normal human would on the GUI. It allows clearly defining all aspects of user transactions and helps detect graphic elements, performance thresholds and other objects. The frame grabber continuously processes the frames and acts like human eyes with a visual sense. The graphics detector is more like the brain of the platform that recognizes a variety of graphic elements, including images, text, geometric shapes and composite objects. The graphics detector along with the computer vision approach means users don’t have to control APIs. Control outputs interact with each GUI control and sends regular mouse clicks and keywords. The system is able to measure the total time of app transactions accurately and precisely and includes detection, processing and interaction time.
HTML reporting
Alyvix is able to automate and monitor almost any app regardless of the technology behind it, which provides technological independency. No programming experience is required to build test cases as the platform lists user transactions automatically in an editable table. The reporting system provides deep insights into user interactions by capturing all the important information, including performance, animations and screenshots. This helps certify user interactions visually, while reports of each test case can be generated in HTML format. The failure animation clearly demonstrates what went wrong during a test case, making it easier for users to make the required changes.