公开(公告)号：US20240330148A1

公开(公告)日：2024-10-03

申请号：US18220537

申请日：2023-07-11

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Chris Piwinsky ,  Ryan Chambers ,  Chenxi YU ,  Ryan Jewell ,  Sean Harmon

IPC: G06F11/36 ,  G06F8/20

CPC classification number: G06F11/3612 ,  G06F8/20

Abstract: Techniques are described for predicting resiliency of software applications. Techniques provide for obtaining one or more software construction variables, software operation variables, and an error rate associated with a first software application. This includes training a machine learning model to predict a resiliency of a particular software application using the software construction variables, the software operation variables, and the error rate for each of the plurality of first software applications. A software construction variable and a software operation variable associated with the second software application are obtained. The trained machine learning model is applied to the software construction variable and the software operation variable associated with the second software application to predict an error rate for the second software application. Then a resiliency for the second software application is determined based upon the predicted error rate and display an indication of the resiliency for the second software application.