Windows CE to Windows 10 IoT migration under IEC 62304

This is an anonymized, NDA-safe migration playbook for a complex medical diagnostic device platform moving from Windows CE to Windows 10 IoT under IEC 62304 change control, with explicit FDA 510(k) context and a dedicated cybersecurity workstream.

The driver was OS end-of-life with real production continuity risk. The evidence package supported an audit and a controlled return to market after a production interruption.

TL;DR

Windows CE EOL forced a controlled platform migration, not a feature rewrite.
Production continuity was at risk without a validated OS + driver baseline.
IEC 62304 change impact assessment and verification traceability drove scope and retest decisions.
Cybersecurity ran as a parallel workstream with its own test plan and evidence set.
The core output was an artifact checklist QA could audit quickly.

Context: what kind of device/software this was

Complex, long-lifecycle diagnostic device software with a large installed base and service tooling. The platform combined UI/workflow logic, hardware control services, and data handling on a Windows CE stack with tight interfaces to sensors, peripherals, and lab systems.

Mixed hardware modules with custom drivers (USB/serial/PCIe).
Networked data exchange (LIS/HL7-style interfaces) plus service/maintenance tools.
Validated workflows used daily in clinical settings with strict change control.

Why this migration is risky

Regression across complex, safety-relevant workflows and device states.
Production interruption risk if the new OS baseline is not validated in time.
Cybersecurity expectations are evolving faster than legacy platforms can support.
Driver/BSP and toolchain changes can introduce subtle timing and I/O defects.
SOUP dependencies and undocumented interfaces hide change impact.

Scope & system boundary

The boundary had to be explicit: what changed, what stayed stable, and which interfaces required verification even if the external systems were out of scope.

Changed: OS (Windows CE → Windows 10 IoT), BSP/driver stack, platform libraries (crypto/networking), build toolchain, update/patch mechanism, selected UI framework components.
Stayed stable: core diagnostic algorithms, measurement calibration logic, hardware sensors/actuators, external protocol specs, clinical workflow intent.

System boundary definition: in-scope includes device application, OS, drivers, configuration data, and update pipeline. Out-of-scope includes LIS/hospital networks and third-party accessories, but all interfaces and data contracts are in scope for verification.

+---------------------------------------+
| In-scope device software platform     |
| - UI/workflow engine                  |
| - Control services                    |
| - Data capture & storage             |
| - Windows 10 IoT + drivers            |
+-------------------+-------------------+
        | USB/PCIe   | Ethernet/HL7
        v            v
   [Sensor module]  [Lab/LIS systems]
        |
    [Service tool]

Compliance thread (practical, not theoretical)

IEC 62304 lifecycle controls for change: documented change impact assessment, updated requirements and architecture, and a verification plan tied to affected software units.
Risk linkage to ISO 14971: hazards potentially impacted by OS/driver changes were re-evaluated; updated risk controls and residual risk justification were recorded.
FDA 510(k) context: the evidence set was organized to match submission-driven expectations (change summary, traceability, verification, cybersecurity) without claiming clearance.

Migration artifacts checklist

This checklist was the core output used by QA and engineering to drive scope, execution, and audit readiness.

Change impact assessment (software + hardware + interfaces): affected components, regression scope, and re-verification rationale.
Updated SRS / software requirements: explicit changes, rationale, and acceptance criteria.
Architecture update: high-level component map, interfaces, and OS/driver boundaries.
SOUP inventory & assessment: library versions, supplier evidence, license/vulnerability status.
Traceability updates (requirements → tests → evidence): updated RTM with clear evidence references.
Verification strategy (unit/integration/system/regression): test levels, prioritization rules, and execution model.
Cybersecurity Test Plan: threat surfaces, auth/access controls, comms security, hardening checks, vulnerability scanning approach, logging.
Cybersecurity evidence expectations: scan summaries, configuration baselines, remediation records, and risk acceptance notes.
Anomaly/defect list: triage rules, severity mapping, and closure criteria with retest triggers.
Configuration management records: build IDs, baselines, release tags, and toolchain versions.
Release notes: user-visible changes plus technical deltas for QA review.
Verification report + QA summary pack: pass/fail summary, deviations, and audit-ready evidence map.

What good evidence looks like

Signed change impact assessment referencing hazard IDs and affected modules.
Traceability entries that link a requirement to a test case and a timestamped test log.
Captured build ID, OS version, and driver versions embedded in test reports.
Protocol-level logs showing interface compatibility (e.g., network traces, device logs).
Vulnerability scan summary with triage status and remediation evidence.
Regression report that states coverage rationale and acceptance criteria.

Testing strategy that doesn’t explode scope (risk-based)

Prioritize safety-critical workflows and high-usage paths tied to ISO 14971 risks.
Select regression based on change impact: drivers, comms stack, UI navigation, and shared libraries.
Use representative hardware configurations and known field variants.
Acceptance criteria patterns: measurable thresholds, error handling, data integrity checks, and clear pass/fail logs.
Automate stable smoke/regression paths; keep manual, evidence-rich tests for critical flows.

Common failure modes

Under-scoped regression that ignores shared libraries or driver timing.
Missing traceability from changed requirements to verification evidence.
Cybersecurity treated as an afterthought instead of a defined workstream.
Documentation written after the fact, with gaps in change rationale.

When to call for help

If the EOL date is close, evidence is fragmented, or cybersecurity is not integrated, a short readiness review can prevent a painful re-test cycle. For support, contact me.

Migration readiness review with clear change impact scope.
IEC 62304 evidence pack structure and QA review support.
Verification strategy and regression selection logic.
Cybersecurity test plan outline and evidence expectations.