Automated Defect Remediation Package Generation
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Solution Overview
Problem
The current process of defect remediation in systems is costly and inefficient due to the need for manual review and user-assisted routing of remediation actions, which slows down the correction of defects in systems.
Innovation Solution
An automated system that generates and sends remediation packages to appropriate destinations, using structured records of system diagnostic data and remediation information to quickly identify and implement fixes without manual analysis, by parsing and processing system diagnostic data to create structured records and associating them with remediation actions, and then sending these packages to systems or users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual review and user-assisted routing of remediation actions is used, then reliability of remediation can be maintained, but productivity and time efficiency deteriorate
Solution Approach 1:
The system performs self-service by automatically generating remediation packages and routing decisions without requiring manual intervention. The automated defect analysis system independently processes diagnostic data, identifies defects, selects remediation actions, and routes them to appropriate destinations, eliminating the need for human review in the core remediation workflow.
Solution Approach 2:
The patent replaces the mechanical manual review process with an automated computer-based system. The automated defect analysis system uses software algorithms to process diagnostic data, generate remediation packages, and make routing decisions, substituting human operational mechanisms with electronic automation.
2Loss of time
If manual review of defect information is performed, then accuracy of remediation actions is maintained, but loss of time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing diagnostic data into structured records and pre-associating remediation actions with defect types before actual defect occurrence. This allows the system to quickly match defects to appropriate remediation actions without manual review, reducing time while maintaining accuracy through pre-established knowledge bases.
Solution Approach 2:
The automated system incorporates feedback mechanisms where diagnostic data is continuously analyzed, remediation actions are executed, and outcomes are monitored. This feedback loop allows the system to learn from previous remediations and improve its accuracy over time, maintaining high reliability while reducing manual intervention requirements.
3Productivity
If automated remediation package generation is implemented, then productivity improves, but device complexity increases
Solution Approach 1:
The automated remediation system is segmented into distinct functional modules: diagnostic data collection, structured record generation, defect identification, remediation action selection, and routing delivery. This segmentation allows each component to be developed, tested, and maintained independently, managing overall system complexity while achieving high productivity through automation.
Data Source
AI summary
Defect remediation in a system is disclosed. A defect is mapped to one or more remediation actions, at least in part by using a processor to generate and perform a defect-based query against one or more structured remediation action records. A remediation package is generated using the processor. The remediation package may include the one or more remediation actions and data associated with the defect. The remediation package may be sent to a destination associated with the defect.