Cloud Integration Testing Automation via Failure Pattern Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Integration testing in cloud computing environments faces challenges such as response time delays, loading effects, security breaches, configuration issues, and the difficulty in simulating real-time network failures and functionalities without altering the underlying cloud configuration, leading to inefficient and unreliable testing processes.
Innovation Solution
A system and method that determines failure issues and patterns in products within a cloud environment, maps these issues to critical scenarios, and automates test scripts to improve integration testing by analyzing behavior over a predetermined time period and identifying key failure patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional testing approaches are used with dedicated infrastructure, then testing reliability is improved, but testing cost and device complexity increase significantly
Solution Approach 1:
The patent creates virtual copies of testing environments through cloud-based virtualization. Instead of maintaining physical dedicated infrastructure, the system provisions virtual testing environments that replicate production scenarios, enabling reliable testing without the complexity and cost of physical duplicates.
Solution Approach 2:
The patent introduces an intermediary layer between the testing processes and the actual cloud infrastructure. This intermediary manages environment provisioning, configuration, and teardown automatically, reducing the complexity burden on testers while maintaining testing reliability through controlled access to virtualized resources.
2Reliability
If manual integration testing is performed in cloud environment, then testing coverage is improved, but testing time and productivity decrease
Solution Approach 1:
The patent performs preliminary actions by automatically provisioning testing environments and pre-configuring test scenarios before actual testing begins. This preparation work is done systematically in advance, allowing manual testers to focus on analysis and interpretation rather than setup tasks, thereby improving both coverage and efficiency.
Solution Approach 2:
The patent implements periodic automated environment provisioning and test execution cycles. This structured periodic action ensures comprehensive testing coverage is maintained while reducing manual intervention frequency, thereby improving productivity without sacrificing coverage quality.
3Reliability
If cloud configuration is altered for testing purposes, then testing realism is improved, but system stability and reliability worsen
Solution Approach 1:
The patent segments the cloud environment into isolated virtual testing spaces that are separated from the production configuration. This segmentation allows realistic testing scenarios to be created within sandboxed environments without affecting the stability of the underlying cloud infrastructure or production systems.
Solution Approach 2:
The patent creates temporary, disposable virtual environments for each testing cycle that are automatically provisioned and discarded. These short-lived testing artifacts provide realistic configurations without permanently altering or destabilizing the core cloud infrastructure, as each testing environment is ephemeral and isolated.
4Productivity
If automated test scripts are implemented, then testing productivity is improved, but testing flexibility and adaptability decrease
Solution Approach 1:
The patent implements dynamic test script generation that adapts to different cloud environments and configurations. Rather than using fixed rigid scripts, the system dynamically adjusts test parameters and scenarios based on the specific cloud context, maintaining both automated productivity and the flexibility to handle diverse testing requirements.
Data Source
AI summary
A system and method for improving integration testing in a cloud computing environment includes collecting one or more input parameters associated with each of one or more products, deployed in cloud computing environment, from one or more external resources and test management systems. The input parameters include one or more defect parameters, user requirements, test parameters or performance parameters associated with the product. The integration testing improvement system determines one or more failure issues associated with the product and analyzes the behavior of the product over a predetermined time period to identify a failure pattern associated with the product. Each of the determined failure issues is mapped with the identified failure pattern to detect one or more critical scenarios in each of the products. Later the critical scenarios are automated by executing associated test scripts thereby improving the integration testing in the cloud computing environment.