Automated Application Assessment Engine for Hierarchical Content
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Enterprise organizations face inefficiencies and errors in assessing website or application functionality due to reliance on manual test mechanisms, which are prone to errors and require significant time and effort, especially when test scenarios need to be manually written and configured in automated testing tools.
Innovation Solution
A computing platform that automatically generates a content tree indicating relationships between pages of hierarchical content, performs holistic error analysis without manual intervention, and updates navigation trees periodically, allowing for error notification and correction without affecting user experience, using a combination of content information and manual input data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual test mechanisms are used to assess website/application functionality, then test scenarios can be executed, but significant time and effort are required and errors are prone to occur
Solution Approach 1:
The system performs self-assessment by automatically generating test scenarios and executing tests without requiring manual test configuration. The assessment engine autonomously navigates the application, collects data, and generates reports, eliminating the need for manual test mechanism operation while maintaining high reliability through automated validation.
Solution Approach 2:
Manual test mechanisms are replaced with an automated assessment engine that uses software-based navigation and data collection. The system substitutes human-operated mechanical testing processes with automated digital processes that execute test scenarios programmatically, reducing both time and error rates.
2Productivity
If automated test mechanisms are used, then assessment speed increases, but test scenarios must be manually written and configured which requires significant effort
Solution Approach 1:
The assessment engine automatically generates test scenarios by analyzing the application structure and navigation paths. Instead of requiring manual configuration of test cases, the system self-generates appropriate test scenarios based on the application's hierarchical content and navigation tree, maintaining high productivity while eliminating configuration complexity.
Solution Approach 2:
The system performs preliminary analysis of the application structure to pre-generate test scenarios before execution. By analyzing the navigation tree and content hierarchy in advance, the assessment engine prepares test cases automatically, eliminating the need for manual scenario writing while maintaining fast execution speed.
3Adaptability or versatility
If manual test mechanisms are used, then test scenarios can be customized, but error proneness increases due to incorrect application configuration and test data changes
Solution Approach 1:
The system maintains adaptability by automatically adjusting test scenarios based on real-time analysis of application configuration and data changes. The assessment engine monitors configuration changes and autonomously updates test cases to maintain relevance and accuracy, providing both customization and high reliability without manual intervention.
Solution Approach 2:
The assessment engine incorporates feedback mechanisms that monitor application configuration and test data changes. When changes are detected, the system automatically adjusts test scenarios to maintain accuracy, reducing error rates while preserving the ability to adapt to different application configurations and data states.
4Productivity
If automated testing tools are used, then assessment efficiency improves, but the tools require manual configuration which reduces efficiency
Solution Approach 1:
The assessment engine eliminates the need for manual configuration by automatically generating and configuring test scenarios based on application analysis. The system serves itself by autonomously setting up the testing environment, navigating the application structure, and configuring appropriate test cases, thereby maintaining high efficiency while removing configuration effort entirely.
Solution Approach 2:
The system performs preliminary automatic configuration of test scenarios by analyzing the application structure before execution. This pre-configuration phase automatically sets up navigation paths, test data, and validation criteria based on the application's hierarchical content, eliminating manual configuration steps while maintaining assessment efficiency.
Data Source
AI summary
Aspects of the disclosure relate to application assessment. A computing platform may receive content information and manual input data corresponding to hierarchical content. The computing platform may establish a content tree indicating relationships between pages of the hierarchical content. The computing platform may receive starting/ending pages of the hierarchical content and application assessment commands. Using the content tree and in response to receipt of the application assessment commands, the computing platform may generate error information based on the starting page and the ending page by performing a holistic error analysis of the hierarchical content between the starting page and the ending page, which may include automatically populating manual input fields using the manual input data. The computing platform may send the error information and commands to display an error notification based on the error information, which may cause the administrator computing device to display the error notification.