Automated UI Interactive Region Detection for Test Script Generation
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Solution Overview
Problem
Manual generation of test scripts for program debugging is complex and time-consuming, as it requires recreating user interactions to identify and debug issues in software or firmware programs.
Innovation Solution
An automated system that identifies and represents user interactive regions of a program's user interface (UI) using a user interactive regions representation building engine, generating a test script by simulating user actions to recreate issues, thereby automating the debugging process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual generation of test scripts is used to verify program functionality, then testing accuracy can be maintained, but the process becomes complex and time-consuming
Solution Approach 1:
The patent creates a visual copy of the user interface elements and their interactions. The system generates a graphical representation that mirrors the actual UI structure, allowing test scripts to be generated by analyzing this visual model rather than manually recreating user interactions. This copying approach maintains testing accuracy while significantly reducing the time required.
Solution Approach 2:
The patent replaces the manual mechanical process of creating test scripts with an automated image processing and analysis system. Instead of manually tracking user interactions and translating them into test cases, the system uses computer vision algorithms to automatically generate test scripts from UI screenshots, substituting human effort with automated computational processes.
2Measurement precision
If manual debugging processes are used to identify user interactions, then detailed analysis is possible, but the complexity and time required increase significantly
Solution Approach 1:
The system creates a visual replica of the user interface that preserves all interactive elements and their relationships. This graphical copy allows detailed analysis of user interactions without requiring manual tracing of each interaction path, as the visual model inherently captures the complete interaction structure.
Solution Approach 2:
The patent introduces an intermediary visual model that sits between the actual program and the testing process. This intermediary representation serves as a bridge, allowing automated analysis tools to examine user interactions without directly interacting with the complex program logic, thereby reducing process complexity while maintaining analytical depth.
3Productivity
If automated systems are used to generate test scripts, then productivity increases, but the ability to handle complex user interactions may be reduced
Solution Approach 1:
The patent employs advanced image recognition and pattern matching algorithms that can automatically identify and analyze complex UI elements and their interactions. The system uses machine learning models trained to recognize various interaction patterns, enabling automated generation of test scripts for complex scenarios without sacrificing versatility.
Solution Approach 2:
The visual copying approach captures the complete structure and behavior of complex UI elements in the graphical representation. By analyzing this comprehensive visual model, the automated system can generate test scripts for complex interactions just as effectively as for simple ones, maintaining adaptability while improving productivity.
Data Source
AI summary
In some examples, a system executes a program that generates a user interface (UI) screen, provides a user input event to the program during execution, and captures images of the UI screen before and after the user input event. The system determines, based on the captured images, whether a first region of the UI screen changed in response to the user input event, and indicates the first region as a user interactive region and adds an element representing the user interactive region to a representation of user interactive regions of a UI of the program.