公开(公告)号：US12159239B2

公开(公告)日：2024-12-03

申请号：US17148134

申请日：2021-01-13

Applicant: BANK OF AMERICA CORPORATION

Inventor： Srinivas Dundigalla ,  Pavan Chayanam ,  Steven Novack ,  Jaimish Patel

IPC: G06N5/04 ,  G06F3/14 ,  G06N20/00

Abstract: Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.

公开(公告)号：US20220222549A1

公开(公告)日：2022-07-14

申请号：US17148134

申请日：2021-01-13

Applicant: BANK OF AMERICA CORPORATION

Inventor： Srinivas Dundigalla ,  Pavan Chayanam ,  Steven Novack ,  Jaimish Patel

IPC: G06N5/04 ,  G06F3/14 ,  G06N20/00

Abstract: Systems, computer program products, and methods are described herein for automated regression testing. The present invention is configured to generate, using a regression testing engine, a second state instance map for a second version of an application; generate, using the regression testing engine, a first state instance map for a first version of the application; initiate a differential detection engine on the first state instance map and the second state instance map; determine, using the differential detection engine, one or more differential features in the second version of the application; initiate a machine learning model on the one or more differential features in the second version of the application; and classify, using the machine learning model, the one or more differential features into one or more classes.

公开(公告)号：US20220222168A1

公开(公告)日：2022-07-14

申请号：US17148206

申请日：2021-01-13

Applicant: BANK OF AMERICA CORPORATION

Inventor： Srinivas Dundigalla ,  Pavan Chayanam ,  Steven Novack ,  Jaimish Patel

IPC: G06F11/36 ,  G06F9/451

Abstract: Systems, computer program products, and methods are described herein for generating a state instance map for automated regression testing. The present invention is configured to initiate a regression testing engine on a second version of an application; determine one or more states of the second version of the application; capture one or more screenshots of the one or more user interfaces of the second version of the application; map the one or more screenshots of the one or more user interfaces with the one or more states; generate one or more nodes based on at least the mapping; generate one or more edges based on at least the action-based navigation; and generate a second state instance map based on at least the one or more nodes and the one or more edges.