公开(公告)号：US20210365353A1

公开(公告)日：2021-11-25

申请号：US16880720

申请日：2020-05-21

Applicant: Bank of America Corporation

Inventor： Venkata R. Bhimireddy ,  Pavan Chayanam ,  Srinivas Dundigalla ,  Sandeep Verma

IPC: G06F11/36 ,  G06F11/34 ,  G06N20/00

Abstract: A crash test simulator device for re-creating a software crash scenario within a virtual environment using artificial intelligence processes to consider a large group of variables that may be relevant to the crash incident. The crash test simulator device includes a production environment monitoring engine configured to monitor a user's interaction with an application implemented within a production environment, and generate information used to re-create a crash incident within a virtual environment.

公开(公告)号：US20210374567A1

公开(公告)日：2021-12-02

申请号：US16890224

申请日：2020-06-02

Applicant: Bank of America Corporation

Inventor： Venkata R. Bhimireddy ,  Sandeep Verma ,  Srinivas Dundigalla ,  Pavan Chayanam

IPC: G06N5/04 ,  G06N20/00 ,  G06F11/30 ,  G06F11/34 ,  G06F11/00

Abstract: A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

公开(公告)号：US11521086B2

公开(公告)日：2022-12-06

申请号：US16890224

申请日：2020-06-02

Applicant: Bank of America Corporation

Inventor： Venkata R. Bhimireddy ,  Sandeep Verma ,  Srinivas Dundigalla ,  Pavan Chayanam

IPC: G06F11/00 ,  G06N5/04 ,  G06N20/00 ,  G06F11/34 ,  G06F11/30

Abstract: A crash prediction computing system includes a machine learning module capable of analyzing data logs associated with each of a plurality of services or applications to identify and categorize every error, exception, and/or crash, such as those resulting from client system interactions based on crash type, customer profile type, customer screen navigation flow, time or crash. The machine learning algorithms continuously train the crash prediction models for each crash category with associated client computing system navigation flow. The crash prediction computing system applies each model before each screen/activity navigation to predict whether the next move will result in an error, exception or crash, and for each predicted error, exception, or crash, automatically implement alternate route functionality to arrive at a desired target.

公开(公告)号：US11249884B2

公开(公告)日：2022-02-15

申请号：US16880720

申请日：2020-05-21

Applicant: Bank of America Corporation

Inventor： Venkata R. Bhimireddy ,  Pavan Chayanam ,  Srinivas Dundigalla ,  Sandeep Verma

IPC: G06F11/36 ,  G06N20/00 ,  G06F11/34

Abstract: A crash test simulator device for re-creating a software crash scenario within a virtual environment using artificial intelligence processes to consider a large group of variables that may be relevant to the crash incident. The crash test simulator device includes a production environment monitoring engine configured to monitor a user's interaction with an application implemented within a production environment, and generate information used to re-create a crash incident within a virtual environment.