Correlated Knowledge Base for Error Troubleshooting
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Solution Overview
Problem
Existing error reporting systems are one-way, leading to client reluctance in reporting errors as they do not receive solutions, and developers face challenges in identifying commonalities among disparate error data.
Innovation Solution
A correlated knowledge base is implemented to store error data and solutions, allowing for the correlation of similar root causes and association of solutions across multiple entries, enabling efficient error troubleshooting by querying the knowledge base for applicable solutions and communicating them to clients, with alternative actions taken if no solution is found.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a one-way error reporting system is used, then developers can receive error data from clients, but clients have no incentive to report errors since they do not receive solutions
Solution Approach 1:
The patent implements a feedback mechanism where the knowledge base provides solutions back to clients who report errors. This two-way communication transforms the one-way error reporting system into a closed-loop system, giving clients incentive to report errors since they receive actionable solutions in return, thereby improving both error data collection and client participation
2Measurement precision
If error data from multiple clients is stored separately, then each client's error data can be tracked individually, but commonalities and relationships between errors are not readily apparent
Solution Approach 1:
The patent merges individual client error data into a centralized knowledge base that correlates errors across multiple clients. By combining and correlating error data while maintaining individual tracking, the system reveals commonalities and relationships between errors, enabling pattern recognition and shared solution distribution across the client base
3Productivity
If a correlated knowledge base is implemented, then solutions can be efficiently associated with multiple error entries, but the system complexity increases
Solution Approach 1:
The patent implements a universal knowledge base structure where single solutions can be correlated with and applied to multiple error entries across different clients and error types. This multi-functional approach allows one solution to serve multiple purposes, improving error resolution efficiency while managing system complexity through standardized correlation mechanisms
Data Source
AI summary
Disclosed are various embodiments for an error troubleshooting application. Error data is obtained from a client device. A correlated knowledge base is referenced to determine if a solution is associated with the error data. If a solution is associated with the error data, a notification embodying the solution is communicated to the client device. If a solution is not associated with the error data, a notification indicating the solution is unknown is communicated to the client device.