Mobile Application Performance Prediction

Patent №

US 9,635,570

Granted

2017-04-25

Filed 2014

Owner

PULSE.IO, INC.

+1 more

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14243783

The present invention provides methods of and systems for predicting performance of a mobile application. A first mobile application is installed on a first plurality of wireless mobile devices. Operational data resulting from operating the first mobile application on the first plurality of mobile devices is collected. A second mobile application is installed on a second plurality of mobile devices. Test data resulting from operating the second the mobile application on the second plurality of mobile devices is collected. The performance of the second mobile application is predicted using the operational data and the test data for combinations of mobile device configuration and wireless network connection type not represented by the second plurality of mobile devices.

AI hardwareH04W 24/08G06F 11/3013G06F 11/3058G06F 11/3089G06F 11/36H04W 4/50H04W 24/04

AI classification

AI hardware0.80
Planning0.38
Knowledge representation0.13
Natural language0.10
Machine learning0.01
Evolutionary computation0.01
Vision0.00
Speech0.00

Ownership

PULSE.IO, INC.

assignment · 327830332

GOOGLE INC.

assignment · 379230406

Assignors

RONEN, OFER, SIMMONS, KEITH

On an employer assignment, the assignors are typically the inventors.

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