US 12,229,552 B2
Generating review likelihoods for sets of code
Charles Robert John Matthews, Edinburgh (GB); Thomas Stanley Dalton, St Andrews (GB); Harinder Singh Sandhu, Edinburgh (GB); David Alexander Collie, Edinburgh (GB); and Adrian John O'Lenskie, Dunblane (GB)
Assigned to Adobe Inc., San Jose, CA (US)
Filed by Adobe Inc., San Jose, CA (US)
Filed on Mar. 20, 2023, as Appl. No. 18/186,458.
Prior Publication US 2024/0319991 A1, Sep. 26, 2024
Int. Cl. G06F 8/71 (2018.01); G06F 8/41 (2018.01)
CPC G06F 8/71 (2013.01) [G06F 8/41 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving, by a processing device, input data including code data describing information associated with a set of code to be incorporated into a set of existing code and reviewer data describing information associated with one or more candidate reviewers;
generating, by the processing device, a review likelihood, respectively, for the one or more candidate reviewers for selection to review the set of code, the generating using a machine learning model based on processing the input data; and
generating, by the processing device, an indication of the review likelihood for display in a user interface.