Workflow Website Issue Scanning Across Multiple Page States
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Solution Overview
Problem
Existing website issue detection tools fail to efficiently process multiple states of a website, leading to manual and error-prone report consolidation, duplication of issues, and lack of organization and categorization, hindering effective troubleshooting.
Innovation Solution
An issue detection and processing system that automatically detects and processes multiple states of a website, deduplicates issues, and categorizes them based on website components, generating a consolidated report for efficient troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a rule engine processes only one snapshot of a website at a time, then the processing simplicity is maintained, but the ability to detect issues across multiple website states is limited
Solution Approach 1:
The system segments the website testing process into multiple independent snapshots representing different website states. Each snapshot is processed separately by the rule engine, allowing comprehensive coverage of various states without overwhelming complexity. The snapshots are generated through automated browser interactions that capture different user workflow states.
Solution Approach 2:
The system performs preliminary actions by automatically generating multiple website state snapshots before issue detection. Browser automation tools pre-load different website states representing various user workflows, so that when the rule engine processes each snapshot, the website is already in the desired state, eliminating the need for complex real-time monitoring.
2Reliability
If multiple issue reports from different website states are manually combined, then the completeness of issue detection is improved, but the time consumption and error rate increase
Solution Approach 1:
The system merges multiple issue reports from different website state snapshots into a single consolidated report. The rule engine automatically aggregates issues detected in each snapshot, eliminating the need for manual combination. This merging process maintains completeness while reducing time consumption by automating the consolidation step.
Solution Approach 2:
The system performs self-service by automatically consolidating and processing issue reports without human intervention. The automated workflow includes generating snapshots, detecting issues, and consolidating reports into a unified output, where the system serves its own needs rather than requiring manual processing.
3Measurement precision
If issue reports are generated independently for each website state, then the detection accuracy for each state is maintained, but the organization and categorization of issues deteriorates
Solution Approach 1:
The system adds an organizational dimension to the issue reports by categorizing and tagging issues based on website components and user workflows. Instead of merely listing issues from different states, the system structures them according to dimensional categories such as component type, severity, and workflow context, making the information more actionable and organized.
Solution Approach 2:
The system applies local quality by customizing the organization and categorization of issues according to their specific characteristics. Different types of issues are tagged and categorized based on their nature, location, and impact, allowing for localized management strategies. This ensures that while detection accuracy is maintained, the issues are also appropriately organized for efficient troubleshooting.
4Adaptability or versatility
If manual consolidation of issue reports is performed, then the flexibility for custom analysis is maintained, but the productivity and efficiency of troubleshooting decreases
Solution Approach 1:
The system provides universality by creating a multi-functional automated workflow that handles snapshot generation, issue detection, report consolidation, and categorization all within a single integrated platform. This universal system can be configured for different analysis needs while maintaining high productivity, eliminating the need to choose between automation and flexibility.
Solution Approach 2:
The system introduces dynamics by allowing flexible configuration of the automated workflow according to specific troubleshooting needs. Users can dynamically adjust parameters such as which website states to test, which rules to apply, and how results should be categorized, maintaining adaptability while achieving high productivity through automation.
Data Source
AI summary
A website developer can use an issue detector and an issue processor to detect issues with their website and troubleshoot them. A rule engine can parse a single instance of a webpage, frozen in time and generate a single issue report, for example, an accessibility issue report. The website developer can interact with the website, as an end-user would, while the issue detector automatically runs the rule engine in the background, and the issue processor automatically consolidates the issue reports. The issue processor deduplicates the issue reports and performs tagging to generate a combined issue report. The combined issue report can feed one or more user interfaces, allowing the website developer to filter and display the issues with the website.