Patent ID: 11966326
Assignee: BANK OF AMERICA CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 18:
19. A method comprising:
at a computing platform comprising at least one processor, a communication interface, and memory:
training, using historical information, a machine learning engine, wherein training the machine learning engine configures the machine learning engine to identify, based on historical error data, error remediation information, comprising: an action to correct an identified error and a confidence score corresponding to the action;
receiving, from a user device, a request to identify and correct errors in an application;
identifying, automatically, a first error in the application by executing a plurality of test cases, specific to the application, wherein the plurality of test cases are stored at the computing platform using a plain language format;
inputting the first error into the machine learning engine to output, for the first error, first error remediation information corresponding to the first error, wherein the first error remediation information comprises a first action to correct the first error and a first confidence score corresponding to the first action;
comparing the confidence score to a first confidence threshold;
correcting, automatically, the first error using the first action, based on identifying that the first confidence threshold is exceeded; and
sending, once the first error has been corrected, one or more commands directing a data storage system to store an indication that the first error has been corrected, wherein sending the one or more commands directing the data storage system to store the indication that the first error has been corrected causes the data storage system to store the indication that the first error has been corrected.