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기록

PREDICTED CHANGE REQUEST OUTCOMES FOR RISK ASSESSMENT

발명심사 중
20청구항 · 3 독립항
§ Ⅰ

개요

발명자

Kevin Ros; Yu Deng; Larisa Shwartz; Noah Zheutlin; Chengxiang Zhai

IPC 분류

G6F 21/57

CPC 분류

G6F21/577G6F2221/34

A computer-implemented method includes inputting a first input and a second input into a risk assessment machine learning model, such that, in response, the risk assessment machine learning model generates, as an output, a risk-based prediction associated with a change request (CR). The first input includes the CR, and the CR relates to a requested change for an information technology (IT) system. The second input includes a predicted set of documentation textual notes that would accompany implementation of the CR, the predicted set being generated as output from a generative language machine learning model in response to the CR being input into the generative language machine learning model.

원문 (중국어)

A computer-implemented method includes inputting a first input and a second input into a risk assessment machine learning model, such that, in response, the risk assessment machine learning model generates, as an output, a risk-based prediction associated with a change request (CR). The first input includes the CR, and the CR relates to a requested change for an information technology (IT) system. The second input includes a predicted set of documentation textual notes that would accompany implementation of the CR, the predicted set being generated as output from a generative language machine learning model in response to the CR being input into the generative language machine learning model.