Micro Focus Lcc

Hewlett Packard Enterprise Development LP

Amos Nesher

Eli Revach

Elad Levi

Er-Xin Shang

Peng-Ji Yin

Shuhui Fu

Anton Kaminsky

Gil Nakache

Yun-Sheng Liu

Eyal Luzon

Tsachi Ben Zur

Michael Aaron

Mordechai Lehrer

Shahar Tal

An image of a graphical user interface is captured. A process is started to record identification of a graphical object (e.g., a text field) in the image of the graphical user interface. Recording identification of the graphical object in the image of the graphical user interface is based on machine learning. An end to the process to record identification of the graphical object in the image of the graphical user interface is identified. A machine learned software object is updated. For example, the machine learned software object is updated with a location of the graphical object. The updated machine learned software object then is used to test the graphical object. For example, to automatically fill in the text field using a test script.

Machine learning based on functional testing

A database having multiple data columns is disclosed. Whether metadata for the multiple data columns resides in multiple different metadata columns may be determined. If so, the metadata may be consolidated into a single consolidated metadata column.

Consolidated metadata in databases

Implementations disclosed herein relate to a device for applying a degree of transparency. The device may comprise a display engine to display a foreground and background area, wherein the background area is associated with a first application and the foreground area is associated with a second application. The device may further comprise a transparency engine to apply a degree of transparency to the foreground area in an overlap area between the foreground area and the background area. The device may further comprise a trigger engine to determine whether a trigger event associated with the first application has occurred, wherein the trigger event is based on a metric value received by the first application, and in response to determining that the triggering event associated with the first application has occurred, cause the display engine to display the first application in front of the second application.

Applying a degree of transparency

According to an example, different types of data stored at a database may be identified. The identified data may be scored, where different types of data are scored according to different schemes. The scored data that is above a threshold may be selectively retained. The different schemes may relate to measuring a relevancy of the identified data for predicting behavior of a system.

Retain data above threshold

Growing community of inventors

Yehud, Israel

Amos Nesher