Debugging Mixed-Signal Failures: Reports and Metrics

Reports and metrics

Reports and Metrics for Debugging Mixed-Signal Failures is anchored on Time-to-isolation of failure origin (digital stimulus, analog front-end, clocking, or power integrity) and reproducibility across stress tests.. Convert observations into mechanism-backed and owner-bound actions.

A useful report explains why behavior moved, not only that behavior moved.

Evidence matrix

EVIDENCE MATRIX - Debugging Mixed-Signal Failures

+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| Evidence                    | Tells you                      | Does not prove                 | Next action               |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+
| setup calibration logs      | measurement chain validity     | mechanism root cause           | pair with transfer checks |
| spectrum and jitter plots   | frequency-domain behavior      | ownership of failure           | correlate with activity   |
| PVT corner overlays         | sensitivity distribution       | runtime workload equivalence   | add workload replay       |
| model-vs-silicon deltas     | assumption mismatch classes    | direct fix correctness         | test bounded mitigation   |
| before-after matrix         | mitigation movement            | long-term field drift          | run stress suites         |
+-----------------------------+--------------------------------+--------------------------------+---------------------------+

• Track Time-to-isolation of failure origin (digital stimulus, analog front-end, clocking, or power integrity) and reproducibility across stress tests. on representative stress slices.

• Include setup, workload, and environmental metadata in every report.

• Correlate measured movement with source-path-victim assumptions.

• Call out contradictory evidence explicitly.

Analog deep dive

Bench-to-signoff correlation is an engineering loop: setup integrity, evidence quality, and model updates.

Concept diagram

CORRELATION LOOP

bench setup -> measured behavior -> model comparison -> signoff updates

Metric graph

DEBUG CONVERGENCE

artifact-poor iterations  ███████
evidence-led iterations   ███████████

Metrics and artifacts to collect

• measurement uncertainty log

• FFT/spectrum setup reconciliation

• cross-domain timeline capture

• silicon-model delta tracker

Mini case study

A persistent performance mismatch closed only after de-embedding and corner-equivalence assumptions were audited.

Debug branches

• Verify setup floor and calibration before blaming silicon.

• Synchronize firmware/digital/analog captures into one timeline.

• Convert each mismatch into model and guard-band updates.

Senior review question

Ask: which source-path-victim boundary failed first, and which artifact proves it reproducibly?

Key takeaways

• Tie every analog claim to one measurable metric and one proving artifact.

• Prefer minimal reversible mitigations with explicit owner and rollback criteria.

Common pitfalls

• Treating all noise as one scalar instead of path and frequency dependent behavior.

• Changing multiple analog knobs at once and losing causality.

• Declaring closure from nominal behavior without stress replay evidence.

Report interpretation

Treat report movement as hypothesis evidence, not final proof.

Cross-check metrics with setup integrity and model assumptions.