Patent ID: 11954019
Assignee: OPTUM, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method comprising:
generating, using one or more processors, a graph data structure comprising (i) a plurality of nodes each representing a test step belonging to one or more test cases of a software testing data object for a software application platform, wherein each node of the graph data structure is associated with one or more standardized test descriptions that are generated using one or more supervised machine learning models, and (ii) a plurality of segments each connecting two nodes and identifying a particular test case comprising two test steps represented by the two nodes;
receiving, using the one or more processors, a test change query describing a testing change to the software testing data object;
generating, using the one or more processors and a natural language processing (NLP) machine learning model, one or more extracted features from the test change query;
based at least in part on the one or more extracted features, and using the one or more processors and the one or more supervised machine learning models, generating one or more test outcome requirements and one or more graph portions of the graph data structure relevant to the testing change; and
in response to the test change query and using the one or more processors:
generating an updated graph data structure by modifying the one or more graph portions based at least in part on the one or more extracted features,
generating a change report indicating the one or more test outcome requirements, and
initiating the performance of one or more prediction-based actions based at least in part on the updated graph data structure and the change report.