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Root cause analysis for a software failure requires reading incident files, gathering evidence, and decomposing causal chains to identify primary root causes. This systematic process isolates the exact origin of code failures.

Automating debugging from an error log involves providing the failure description to trigger a guided diagnostic process. It validates input against incident contracts and constructs a cause-and-effect tree to systematically pinpoint the failure.

Evidence gathering during incident diagnostics works by reading relevant files and validating them against incident contracts. This builds strong evidence to accurately construct the cause-and-effect tree for system analysis.

You can use this system analysis approach for any software engineering bug investigation or troubleshooting. It activates on unexpected behaviors, errors, or failures to guide a structured investigation and reduce diagnostic time.

Incident files should be readable as YAML or JSON to enable evidence gathering. The system reads these files and validates their input against incident contracts to start the root cause analysis and decompose causal chains.