US 12,079,108 B2
Machine learning based on functional testing
Yun-Sheng Liu, Shanghai (CN); Peng-Ji Yin, Shanghai (CN); Er-Xin Shang, Shanghai (CN); Gil Nakache, Yehud (IL); Tsachi Ben Zur, Yehud (IL); Anton Kaminsky, Yehud (IL); Shuhui Fu, Shanghai (CN); Amos Nesher, Yehud (IL); and Eyal Luzon, Yehud (IL)
Assigned to Micro Focus LLC, Santa Clara, CA (US)
Filed by MICRO FOCUS LLC, Santa Clara, CA (US)
Filed on Aug. 30, 2021, as Appl. No. 17/461,301.
Prior Publication US 2023/0075004 A1, Mar. 9, 2023
Int. Cl. G06F 11/36 (2006.01); G06F 9/54 (2006.01); G06N 20/00 (2019.01)
CPC G06F 11/3664 (2013.01) [G06F 9/543 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
a microprocessor; and
a computer readable medium, coupled with the microprocessor and comprising microprocessor readable and executable instructions that, when executed by the microprocessor, cause the microprocessor to:
capture a first image of a graphical user interface;
start a first process to record identification of a first graphical object in the first image of the graphical user interface, wherein recording identification of the first graphical object in the first image of the graphical user interface is based on machine learning;
end the first process to record identification of the first graphical object in the first image of the graphical user interface; and
update a first machine learned software object, wherein the update comprises a location of the first graphical object and wherein the updated first machine learned software object is used to test the first graphical object at the location of the first graphical object.