Patent ID: 11954018
Assignee: CHARTER COMMUNICATIONS OPERATING, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. An application lifecycle management method, comprising:
maintaining one or more databases with test scenarios previously executed with respect to system improvements to a service provider system;
training a predictive analysis engine on a reference data model;
implementing supervised learning techniques to establish the predictive analysis engine, wherein the predictive analysis engine uses Multiclass Multilabel Classification artificial intelligence libraries and the reference data model to generate attribute combinations, generate predicted scenarios, determine issues and generate a complexity score;
receiving service provider system attributes for a system improvement, wherein the service provider system attributes define or are associated with specific features or functionality in the service provider system;
generating the attribute combinations from the service provider system attributes using the predictive analysis engine;
generating the predicted scenarios from the attribute combinations using the predictive analysis engine;
determining the issues based on the predicted scenarios; and
generating the complexity rating based on at least the determined issues to determine project viability including with respect to hardware and software systems used in the service provider system,
wherein the reference data model includes test scenarios from the one or more databases, each test scenario associated with a test scenario attribute combination and wherein the test scenarios used in the reference data model provide regression testing for core functionality in the service provider system.