Automated Interface Testing via Metadata-Driven Node Crawling
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Solution Overview
Problem
Testing user interfaces for modern computing systems is time-consuming due to the complexity and redundancy of existing testing procedures.
Innovation Solution
An automated testing system that crawls the interface to identify end nodes, processes metadata to define testing methodologies, and executes these methodologies on the end nodes, allowing for efficient testing via network access and validation of metadata.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional manual testing procedures are used to test user interfaces, then testing thoroughness can be maintained, but testing time and complexity increase significantly
Solution Approach 1:
The testing system performs self-service by automatically crawling the interface, identifying end nodes, obtaining information about them, defining data types, processing metadata, defining testing methodologies, and executing tests without human intervention. The system serves itself by generating and executing test cases based on the interface structure it discovers autonomously.
Solution Approach 2:
The system changes the parameter of automation extent from manual to automated by implementing an automated testing framework that executes testing methodologies programmatically. This transforms the testing process from a manual, time-consuming activity to an automated, efficient process while maintaining testing thoroughness through systematic coverage of end nodes.
2Reliability
If comprehensive interface testing is performed to ensure proper operation and stability, then system reliability improves, but testing complexity increases
Solution Approach 1:
The testing system segments the interface into discrete end nodes through crawling and identification. Each end node is treated as an independent unit for testing, with its own data type definition and applicable testing methodologies. This segmentation breaks down the complex task of testing the entire interface into manageable, systematic units.
Solution Approach 2:
The system implements universal testing methodologies that can be applied across different data types and end nodes. By processing metadata to define testing methodologies that work with various data types, the system creates a multi-functional testing framework that handles diverse interface elements with a unified approach, reducing overall testing complexity.
3Reliability
If redundant testing procedures are executed to ensure coverage, then testing completeness improves, but productivity decreases
Solution Approach 1:
The system performs preliminary actions by crawling the interface and identifying all end nodes before executing tests. It obtains information about end nodes, defines data types, and processes metadata to determine appropriate testing methodologies in advance. This preliminary structuring prevents redundant testing by ensuring each end node is tested exactly once with the appropriate methodology.
Solution Approach 2:
The system uses feedback from the interface crawling and metadata processing to dynamically determine which testing methodologies to apply to each end node. By analyzing the structure and metadata of the interface, the system receives feedback that guides its testing decisions, ensuring complete coverage without redundant execution of unnecessary tests.
Data Source
AI summary
A method, computer program product, and computing system for crawling an interface associated with a computing system to identify one or more end nodes within the interface. Information concerning the one or more end nodes is obtained to define one or more data types for the one or more end nodes. Metadata associated with the interface is processed to define one or more testing methodologies for the one or more data types. The one or more testing methodologies are executed on the one or more end nodes.