Declarative Metadata API Test Framework
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Solution Overview
Problem
Current API testing methods are inefficient and comprehensive testing is often prohibitive due to the high number of tests required, leading to unreliable APIs as only critical test cases are typically tested.
Innovation Solution
A system that uses declarative metadata, such as XML, to define API tests, allowing for the reuse of test functionality and enabling comprehensive testing without the need to write specific tests for each case, utilizing an execution engine, test interface, and adapter to execute and chain API tests together.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive API testing is performed, then API reliability is improved, but the overhead and costs become prohibitive
Solution Approach 1:
The patent uses templates to create reusable test case structures. Instead of writing unique tests for each API, developers define a template once that can be copied and instantiated multiple times with different parameters, dramatically reducing the effort required for comprehensive testing while maintaining thorough test coverage.
Solution Approach 2:
The patent implements universal test templates that can handle multiple API types and test scenarios through parameterization. A single template structure serves multiple purposes by accepting different input parameters, making the testing framework adaptable to various API contexts without requiring separate test definitions for each case.
2Reliability
If comprehensive API testing is performed, then API reliability is improved, but the time and resources required increase significantly
Solution Approach 1:
The patent requires test templates to be defined in advance before actual API testing begins. The template structure, including test cases, expected results, and validation logic, is prepared beforehand and can be reused across multiple testing scenarios, eliminating the need to write and validate test code repeatedly for similar API tests.
Solution Approach 2:
Pre-defined test templates are copied and instantiated for different API testing scenarios. This copying mechanism allows the same tested structure to be applied across multiple APIs with minimal modification, significantly reducing the time required to set up comprehensive test suites while ensuring consistent testing standards.
3Reliability
If specific API tests are written for each test case, then test coverage is improved, but the development effort becomes prohibitive
Solution Approach 1:
The patent creates universal test templates that can accommodate multiple specific test cases through parameterization. Instead of writing separate tests for each API endpoint or function, a single template design serves multiple purposes by accepting different parameters, thereby achieving comprehensive coverage without proportional increases in development effort.
Solution Approach 2:
The patent enables test developers to copy proven test template structures and reuse them across different testing scenarios. This copying approach maintains high test coverage by ensuring that each API is tested against a validated template structure, while dramatically reducing the marginal development effort required for additional test cases.
Data Source
AI summary
Methods and apparatus for enabling the framework and the application code associated with an application programming interface (API) to be efficiently and comprehensively tested are disclosed. According to one aspect of the present invention, a structure that defines an API test in declarative metadata includes an entity to be tested, a first metadata arrangement, and a second metadata arrangement. The first metadata arrangement includes any data to be used when the entity is tested, and the second metadata arrangement includes any expected outputs associated with testing the entity.