Humana. has been granted a patent for an automated quality assurance framework for infrastructure as code (IaC) implementations. The system processes pull requests from service enablement and application development team members, applying specific checks before merging changes into existing IaC source code. GlobalData’s report on Humana gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Humana, AI for workflow management was a key innovation area identified from patents. Humana's grant share as of July 2024 was 52%. Grant share is based on the ratio of number of grants to total number of patents.
Automated quality assurance for infrastructure as code implementations
The patent US12026082B2 outlines a method and system for an automated quality assurance framework specifically designed for Infrastructure as Code (IaC) implementations. The method begins with the reception of a pull request for changes to existing IaC source code, which can originate from either a service enablement team member or an applications development team member. Depending on the source of the pull request, the system triggers a tailored version of the quality assurance framework. For service enablement team requests, the framework includes modules for naming and documentation checks, coding standards verification, and test case and security checks, followed by a manual review. Conversely, for applications development team requests, the framework applies infrastructure validations, coding standards and compliance checks, and the same test case and security checks, culminating in an automatic merge of the validated code into the existing repository.
The system comprises various components, including IaC source code repositories and user devices linked through networks. It utilizes electronic storage devices with software instructions that facilitate the execution of the quality assurance framework. Each module within the framework is designed to ensure compliance with predetermined standards, such as naming conventions, coding syntax, and security configurations. Additionally, the system can generate failure notifications if any checks are not passed, providing feedback to the relevant user devices. The merging process includes creating a new release and tagging the updated code. The framework also allows for a manual review step before finalizing the merge, ensuring that all changes meet the necessary quality standards. This comprehensive approach aims to enhance the reliability and security of IaC implementations through automated quality assurance processes.
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