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：US11513819B2

公开(公告)日：2022-11-29

申请号：US16922300

申请日：2020-07-07

Applicant: Bank of America Corporation

Inventor： Sandeep Verma ,  Pavan Chayanam ,  Srinivas Dundigalla ,  Mohan Kakarla

IPC: G06N20/00 ,  G06K9/62 ,  G06F9/451 ,  G06F8/71 ,  G06F40/30 ,  G06F3/04817 ,  G06F11/36

Abstract: Aspects of the disclosure relate to impact analysis in a next-release quality assurance environment for a software application. First log data associated with user navigation of user interface components in a production environment may be retrieved. A production navigational graph may be generated, where a node represents a user interface component visited by a user, and an edge representing a navigational link traversed by the user. Then, second log data associated with release notes for a next-release version of the software application maybe retrieved. Then, the computing platform may identify a change in a portion of a software code in the next-release version, and may identify, based on the production navigational graph, a user interface component and/or a link potentially impacted by the change. The production navigational graph may be provided, via an interactive graphical user interface, where the user interface component and/or the link is visually highlighted.

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.