All Case Studies/Aerospace / High-Reliability Engineering
PORTFOLIO CASE STUDYAerospace / High-Reliability EngineeringDomain: DO-178C Avionics Verification & Airworthiness AssuranceEngagement: Critical Systems Verification Pod

Making Avionics Verification Evidence Audit-Ready

Specialized Engineering Scope & Mission Challenge

An aerospace supplier developing critical Flight Management System (FMS) navigation and guidance software struggled to consolidate fragmented verification artifacts prior to upcoming FAA/EASA Stage of Involvement (SOI#3 and SOI#4) audit gates. Requirements lived in DOORS, simulation runs in custom Python and C++ test harnesses, and structural coverage data across disparate bench test rigs. Senior engineers were spending hundreds of hours manually cross-referencing low-level requirements against automated test cases and MC/DC execution traces to prove bidirectional traceability.

Granular Competency & Technical Requirement Matrix

DO-178C DAL-A/B Software Lifecycle Compliance
Bidirectional Traceability Matrix (DOORS to Code & Tests)
Structural Coverage Analysis (Statement, Branch, MC/DC)
ARINC 429 & ARINC 653 Bus Interface Verification
Python-Based Automated Test Harness Architecture
LDRA / VectorCAST Test Execution & Evidence Packaging

Critical Engineering & Integration Complexities

  • 100% MC/DC (Modified Condition/Decision Coverage) compliance without masking short-circuit logic in safety-critical DAL-A functions.
  • Fragmented artifact silos across requirement management systems, Git version control, and bench-level test runners.
  • Strict determinism requirements under ARINC 653 time and space partitioning preventing asynchronous test hook insertion.
  • Imminent SOI audit deadlines leaving zero margin for ambiguous requirement-to-test mapping escapes.

Engineered Delivery & Execution Workflow

01

Audit Baseline Deconstruction

Analyzed existing DO-178C lifecycle data and identified structural coverage gaps across low-level requirement-to-test linkages.

02

Unified Evidence Pipeline

Architected an automated data pipeline linking DOORS requirement IDs with Git commits, test execution scripts, and test results.

03

Automated MC/DC Execution

Scripted regression execution using LDRA test suites to capture deterministic structural code coverage on target hardware.

04

ARINC Protocol Intercept

Implemented non-intrusive bus analyzers for ARINC 429 packet validation during real-time partition execution.

05

Continuous Compliance Gate

Integrated verification checks into GitLab CI, immediately failing any commit that created orphaned code or untested branch conditions.

06

Automated Evidence Packaging

Deployed an automated evidence packager generating indexed, hyperlinked SOI review dossiers formatted for certification authorities.

07

Audit Rehearsal & Handover

Conducted dry-run audit interrogations with designated DER (Designated Engineering Representative) mentors to guarantee first-pass clearance.

Production Toolchains, Protocols & Frameworks

DO-178C lifecycle planningARINC 429Python test automationRequirements traceabilityLDRA TestbedDOORS

06 | PROJECT TARGETS

Project Targets and Business Impact

100%
Requirement-to-test traceability target
Target for this engagement.
2x
Regression throughput target
Target for this engagement.
-35%
Evidence-preparation effort target
Target for this engagement.
0
Critical trace gaps at review target
Target for this engagement.
Business Impact Statement: The approach creates a clear path from requirements to reviewable test evidence ahead of release gates, eliminating pre-audit panic and securing airworthiness milestones.

Customer Confidentiality Note: Customer identity, proprietary codebases, and commercial program specifics have been anonymized in accordance with non-disclosure agreements.