Multicloud Test Automation via Natural Language Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing validation methods for cloud-based resources in a multicloud environment require manual selection and execution of test scripts, which is inefficient and lacks integration across different cloud platforms.
Innovation Solution
A secure multicloud test automation framework that uses natural language processing to receive and interpret test scenarios, map keywords to relevant test cases, and execute shell scripts across multiple cloud platforms, while generating comprehensive summary reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual selection and execution of test scripts is used, then test validation can be performed on cloud-based resources, but the process is inefficient and requires significant manual intervention
Solution Approach 1:
The system enables self-service automation by allowing the test execution framework to automatically select and execute relevant test scripts based on natural language inputs and configuration files, eliminating the need for manual script selection and execution while maintaining comprehensive test validation coverage across multicloud environments
Solution Approach 2:
The patent introduces an intermediary natural language processing layer that mediates between user requirements and the test execution framework. This intermediary automatically translates natural language inputs into executable test scripts, bridging the gap between manual testing requirements and automated execution capabilities
2Adaptability or versatility
If proprietary protocols are used for each cloud platform, then each platform can be accessed with its specific requirements, but integration across multiple cloud platforms becomes complex
Solution Approach 1:
The patent implements a universal configuration file format that can represent multiple cloud platform protocols and access methods in a single standardized structure. This configuration file enables the test execution framework to access different cloud platforms (AWS, Azure, GCP, etc.) through a unified interface, eliminating the need for separate integration logic for each platform and reducing overall system complexity
3Reliability
If comprehensive test results are integrated across platforms, then complete validation coverage is achieved, but generating easy-to-understand summary reports becomes challenging
Solution Approach 1:
The patent segments test results into two distinct layers: detailed technical logs that maintain complete validation integrity and data, and simplified summary reports that present key findings in an easily understandable format. This segmentation allows both comprehensive validation coverage and user-friendly result presentation to coexist without compromising either reliability or ease of operation
Data Source
AI summary
Systems, methods, and apparatus are provided for a secure multicloud test automation framework. The automation framework may receive a natural language request for a cloud-based test scenario at a user interface on an enterprise network. The test scenario may include a cloud resource and a cloud platform. Machine learning may map keywords extracted from the test scenario to a set of test cases associated with the cloud resource. Keyword mapping may also identify a configuration file associated with the cloud platform. The automation framework may retrieve shell scripts specified by the set of test cases from a shell script repository. The automation framework may use data from the configuration file to access the cloud platform via a secure gateway and execute the shell scripts using data from the cloud platform. The automation framework may generate a comprehensive summary report and maintain technical logs for the test.