Firmware Debug Logging Across Boot Phases With Structured Records
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Solution Overview
Problem
Debugging modern firmware boot phases is challenging due to inconsistent and unstructured diagnostic logs, requiring significant manual expertise and hindering automated analysis across heterogeneous modules.
Innovation Solution
A non-intrusive firmware debugging framework that redirects diagnostic libraries to an enhanced library, generating structured diagnostic records with source-line identifiers and per-call-site counters, and integrates with AI models for automated analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional diagnostic libraries are used in firmware modules, then compatibility with existing firmware is maintained, but diagnostic output becomes unstructured and inconsistent across different modules
Solution Approach 1:
The patent introduces an intermediary layer (the enhanced diagnostic library with standardized interface) that sits between the heterogeneous diagnostic library families and the final diagnostic output. This intermediary standardizes the diagnostic records while maintaining compatibility with existing firmware modules through wrapper functions that adapt different library families to the unified interface.
Solution Approach 2:
The patent changes the parameters of diagnostic records by injecting additional structured fields (source-line identifiers, function context, monotonic counters) into the diagnostic output. This transformation converts unstructured plain-text streams into structured records with standardized formats, improving manufacturing precision without requiring changes to the underlying firmware modules.
2Extent of automation
If plain-text diagnostic streams are used, then implementation is simple, but automated log analysis becomes difficult due to lack of source-level identifiers
Solution Approach 1:
The patent applies preliminary action by injecting source-level identifiers, function context, and ordering information into diagnostic records at the point of generation. This preprocessing of diagnostic data with structured metadata enables automated analysis tools to efficiently parse and interpret logs without requiring complex post-processing of unstructured text.
3Stability of the object's composition
If different diagnostic library families are used by different firmware modules, then module independence is maintained, but log format consistency is lost
Solution Approach 1:
The patent implements universality by creating a unified diagnostic library interface that can handle multiple diagnostic library families. The enhanced diagnostic library provides a single standardized interface that works across all firmware modules regardless of which diagnostic library family they originally used, achieving log format consistency without forcing all modules to use the same library.
4Productivity
If manual interpretation of diagnostic logs is required, then expertise can be applied to complex cases, but significant time and effort are consumed
Solution Approach 1:
The patent implements feedback mechanisms through standardized structured diagnostic records that provide actionable insights in a machine-parseable format. The consistent structure and included metadata enable automated analysis tools to quickly process and interpret diagnostic information, providing feedback to developers in a form that significantly reduces manual analysis time while preserving the ability to handle complex cases.
Data Source
AI summary
A non-intrusive debugging method for computing system firmware is disclosed. At firmware image build time, diagnostic library references are redirected to an enhanced diagnostic library without modifying module source code. At compile time, diagnostic macros expand into calls to an enhanced diagnostic function that automatically injects a source-line identifier and an ever-increasing per-call-site counter. The enhanced function generates structured diagnostic records that are emitted through output interfaces selected according to the current boot phase, including deferred caching in initialization, external transmission in driver execution, and runtime-safe emission after virtual addressing. The structured records are preserved across phases to form a continuous diagnostic stream. Developer tools parse the stream to hyperlink logs to source code and visualize execution, while machine-learned models derive diagnostic fingerprints, identify known failure modes, and suggest root causes and fixes.