UI Code Coverage Analysis for Cross-Platform Testing
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Solution Overview
Problem
Existing methods for determining test coverage of user interfaces in computer programs are inadequate, particularly when dealing with multiple software and hardware platforms, various programming languages, and integrating test code coverage suites, leading to inefficiencies and incomplete testing.
Innovation Solution
A UI code coverage system and process that is programming language and platform independent, using static analysis to determine test coverage without requiring test execution, identifying and visualizing covered and uncovered UI Components, and minimizing redundant tests by generating coverage metrics directly from test suite development.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional test execution methods are used to determine code coverage, then comprehensive testing can be achieved, but the process becomes time-consuming and complex across multiple platforms and programming languages
Solution Approach 1:
The patent applies preliminary action by performing static analysis on test suite source code during the development phase, before actual test execution. This allows coverage metrics to be determined in advance by analyzing the code structure and mapping it to UI components, eliminating the need for time-consuming runtime execution across multiple platforms while maintaining accurate coverage measurement.
2Reliability
If test suites are executed on multiple software and hardware platforms to ensure comprehensive coverage, then testing reliability improves, but the complexity of the testing process increases significantly
Solution Approach 1:
The patent introduces an intermediary approach by using platform-independent static analysis as a mediator between test suites and multiple execution platforms. The system analyzes test code structure and UI component mappings in a platform-agnostic manner, generating coverage metrics without requiring actual execution on diverse hardware and software configurations, thus maintaining reliability while reducing complexity.
3Measurement precision
If comprehensive test execution is performed to identify all UI component coverage, then complete testing is achieved, but the number of tests required becomes unmanageably large
Solution Approach 1:
The patent replaces the mechanical execution-based testing system with a static analysis system. Instead of physically executing tests to measure coverage, the system uses code parsing and structural analysis to determine which UI components are covered by test suites, dramatically improving productivity while maintaining precise coverage measurement through automated code-to-UI-mapping.
4Adaptability or versatility
If test suites are integrated across different programming languages and platforms, then versatility is improved, but the difficulty of integration and measurement increases
Solution Approach 1:
The patent implements universality by creating a platform-independent static analysis framework that can process test suites written in different programming languages. The system uses language-agnostic code structure analysis and maintains a universal UI component model that works across multiple platforms, enabling versatile cross-platform testing while simplifying integration and measurement through a unified analysis approach.
Data Source
AI summary
A user interface (“UI”) code coverage system and process determines the coverage by test code of UI Components in a computer program. In other words, the UI code coverage system and process determine whether the test code tests a UI Component. In at least one embodiment, the UI code coverage system and process identify the particular UI Components tested by the test code, provide coverage (i.e. tested) statistics, provide a visualization of the UI Component tested, provide a visualization of tested and not-tested (also referred to respectively as “covered” and “not covered”) UI Components of a UI Screen.