Stateless Test Execution Framework for Data Dependency
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Solution Overview
Problem
Current testing methodologies for complex computing systems require significant resources and manual intervention to develop and maintain test code, especially as systems evolve with new features and bug fixes, due to the need for tightly coupled efforts across multiple developers and stakeholders.
Innovation Solution
A stateless test execution framework that uses a test master and test agents to execute test cases with data dependency, where test case data sets are defined to generate test case objects, allowing for automated execution of test steps with data dependencies specified in the test data model, eliminating the need for customized test code and reducing resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If specific test code is written in various programming languages to support specific test cases, then test coverage and reliability are improved, but device complexity and resource consumption increase significantly
Solution Approach 1:
The patent uses templates to represent test cases, which are reusable patterns that can be copied and instantiated multiple times. Instead of writing custom test code for each test scenario, the system defines templates once and reuses them across different test cases, reducing code complexity while maintaining comprehensive test coverage
Solution Approach 2:
The patent creates a universal test execution framework that can handle multiple types of test cases through a common interface. The test master and test agents work with standardized test case definitions regardless of the specific programming language or test type, making the system multi-functional without increasing individual component complexity
2Reliability
If test code is developed and maintained through tightly coupled cooperative efforts involving numerous people and organizations, then test quality and reliability are improved, but productivity and ease of operation deteriorate due to coordination overhead
Solution Approach 1:
The patent divides the test execution process into independent segments: test case definition, test execution, and result collection. Each component (test master, test agents) operates independently with well-defined interfaces, allowing parallel development and maintenance by different teams without tight coupling, thus improving productivity while maintaining quality through modular design
Solution Approach 2:
The patent introduces standardized test case definitions and execution protocols as intermediaries between different development teams and testing components. These intermediaries enable loose coupling by providing a common language and interface standard, allowing multiple organizations to collaborate on test quality without direct tight coupling between their systems
3Reliability
If extensive and sophisticated testing is performed regularly against numerous software and hardware components, then system reliability is improved, but resource consumption and time requirements increase
Solution Approach 1:
The patent performs preliminary actions by defining test cases using templates before actual test execution. The test case definitions, including test steps, expected results, and data requirements, are prepared in advance using reusable templates, which reduces the time required during actual test execution while maintaining comprehensive testing coverage for system reliability
4Measurement precision
If customized test code is written for each test scenario, then measurement precision and detection capability are improved, but ease of manufacture and adaptability worsen
Solution Approach 1:
The patent applies local quality by allowing customization at the specific test step level within templates. Each test step can have specific detection requirements and validation rules tailored to local needs, while the overall test case structure remains adaptable through template instantiation. This enables precise measurement where needed without sacrificing overall system adaptability
Data Source
AI summary
A test case data set that includes test step data sets is received. The test step data sets include a first test step data set that specifies a dependency data field. Test step objects to be used to execute test steps in a test case are generated based on the test step data sets. The test steps include a first test step to be executed using a first test step object generated based on the first test step data set. The first test step object is used to execute the first test step. The first test step as executed populates values in the dependency data field. The values in the dependency data field are accessed and used in a second test step in the test steps while the second test step is being executed using a second test step object in the test step objects.