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Cross-Industry Compatibility

Domain-Specific Traceability Requirements

Different industries have evolved specialized traceability needs based on their regulatory environments and technical characteristics:

Automotive Safety (ISO 26262)

  • Hazard analysis and risk assessment: HARA documents, fault trees, safety goals
  • Safety requirements: Functional safety requirements, technical safety requirements
  • Safety mechanisms: Hardware safety mechanisms, software safety measures
  • Verification evidence: Unit tests, integration tests, safety validation tests
  • Safety case: Structured arguments linking hazards to mitigations

Aerospace Systems (DO-178C)

  • Software planning: Plan for software aspects of certification (PSAC)
  • Requirements data: High-level requirements, low-level requirements
  • Design data: Software architecture, detailed design
  • Source code: Implementation with coding standards compliance
  • Verification procedures: Test cases, test procedures, test results
  • Life cycle environment: Development tools, verification tools

Medical Devices (IEC 62304)

  • Software safety classification: Class A, B, or C based on harm potential
  • Software development plan: Life cycle processes and procedures
  • Software requirements analysis: Functional and performance requirements
  • Software architectural design: System and software architecture
  • Risk management: Risk analysis, risk control measures
  • Software validation: Clinical evaluation, usability engineering

AI/ML Systems

  • Dataset documentation: Data collection methodology, annotation guidelines
  • Model development: Training procedures, hyperparameter selection
  • Performance evaluation: Accuracy metrics, bias assessment, fairness evaluation
  • Operational design domain: Environmental and operational constraints
  • Monitoring systems: Model drift detection, performance degradation alerts

Universal Schema Architecture

TRF provides cross-industry compatibility through a modular schema architecture:

Core Artifact Types

Four fundamental types that apply across all industries:

{
"core_types": {
"requirement": "Functional or non-functional system requirements",
"test": "Verification and validation procedures and results",
"design": "Architectural and detailed design artifacts",
"component": "Implementation units and deliverable components"
}
}

Domain Extensions

Specialized artifact types for specific industries:

{
"automotive_extension": {
"hazard": "Safety hazards and failure modes",
"safety_goal": "Top-level safety objectives",
"safety_requirement": "Derived safety requirements",
"safety_mechanism": "Hardware/software safety measures"
},
"aerospace_extension": {
"certification_plan": "Plans for software certification",
"design_standard": "Coding and design standards",
"verification_procedure": "Systematic verification methods",
"life_cycle_data": "Process and tool qualification evidence"
},
"medical_extension": {
"risk_analysis": "Clinical risk assessment",
"safety_classification": "Software safety categorization",
"clinical_evaluation": "Clinical validation evidence",
"usability_study": "Human factors engineering"
},
"ai_ml_extension": {
"dataset": "Training and validation datasets",
"model": "Machine learning models and algorithms",
"experiment": "Training experiments and hyperparameter tuning",
"odd": "Operational design domain specifications"
}
}

Relationship Compatibility

Standard relationship types work across domains:

{
"relationship_types": {
"satisfies": "Implementation satisfies requirement",
"tests": "Test validates implementation or requirement",
"derives_from": "Lower-level artifact derived from higher-level",
"depends_on": "Artifact has dependency on another artifact",
"refines": "Detailed version of higher-level artifact",
"conflicts_with": "Artifacts have incompatible requirements"
}
}

Schema Evolution and Compatibility

Versioned Schemas

TRF schemas include version information for backward compatibility:

{
"$schema": "https://trf-spec.org/schemas/v2/automotive.json",
"version": "2.1.0",
"compatible_with": ["2.0.x", "1.9.x"],
"breaking_changes": []
}

Extension Mechanism

New artifact types can be added without breaking existing tools:

{
"custom_types": {
"quantum_algorithm": {
"extends": "component",
"properties": {
"qubit_count": {"type": "integer"},
"gate_complexity": {"type": "number"},
"error_rate": {"type": "number"}
}
}
}
}

Migration Support

Tools can automatically migrate between schema versions:

# Upgrade TWPack to newer schema version
tw migrate evidence.twpack --to-version 2.1.0

# Validate compatibility across schema versions
tw validate evidence.twpack --allow-version-range "2.x"

# Report schema differences
tw schema-diff --from v2.0 --to v2.1

Cross-Domain Artifact Mapping

Requirements Mapping

Different industries express requirements differently, but core concepts align:

DomainRequirement TypeTRF MappingStandard
AutomotiveFunctional Safety Requirementsafety_requirementISO 26262
AerospaceHigh-Level Requirementrequirement + certification_planDO-178C
MedicalSoftware Requirementrequirement + safety_classificationIEC 62304
AI/MLPerformance Requirementrequirement + modelIEEE 2857

Test Evidence Mapping

Verification approaches vary by domain but follow common patterns:

DomainTest TypeTRF MappingEvidence Format
AutomotiveHIL Testingtest + componentTest vectors, coverage reports
AerospaceSoftware Testingtest + verification_procedureTest cases, structural coverage
MedicalClinical Validationtest + clinical_evaluationClinical data, statistical analysis
AI/MLModel Validationtest + experimentPerformance metrics, dataset splits

Design Artifact Mapping

Design representations are domain-specific but share common structure:

DomainDesign TypeTRF MappingTool Integration
AutomotiveAUTOSAR Architecturedesign + componentARXML export
AerospaceSoftware Architecturedesign + life_cycle_dataModel export
MedicalSoftware Architecturedesign + risk_analysisUML/SysML export
AI/MLModel Architecturedesign + modelONNX, PyTorch export

Multi-Domain Evidence Packages

Hybrid System Support

Modern systems often span multiple domains:

{
"autonomous_vehicle": {
"domains": ["automotive", "ai_ml"],
"artifacts": [
{"id": "req:FUNC-001", "type": "requirement", "domain": "automotive"},
{"id": "model:perception", "type": "model", "domain": "ai_ml"},
{"id": "safety:HARA-001", "type": "hazard", "domain": "automotive"},
{"id": "dataset:validation", "type": "dataset", "domain": "ai_ml"}
],
"cross_domain_links": [
{"from": "req:FUNC-001", "to": "model:perception", "type": "implements"},
{"from": "safety:HARA-001", "to": "model:perception", "type": "mitigates"}
]
}
}

Supply Chain Integration

Different suppliers can contribute domain-specific evidence:

{
"tier1_automotive": {
"contributes": ["safety_requirement", "hazard", "component"],
"consumes": ["requirement", "design"]
},
"tier2_ai_vendor": {
"contributes": ["model", "dataset", "experiment"],
"consumes": ["requirement", "odd"]
},
"tier3_sensor_supplier": {
"contributes": ["component", "test"],
"consumes": ["requirement", "safety_requirement"]
}
}

Industry Standard Compliance

Automotive Standards

TRF automotive extensions support multiple automotive standards:

  • ISO 26262: Functional safety lifecycle artifacts
  • UN-R155: Cybersecurity management system artifacts
  • UN-R156: Software update management artifacts
  • ISO/SAE 21434: Automotive cybersecurity engineering artifacts

Aerospace Standards

TRF aerospace extensions align with aviation certification requirements:

  • DO-178C: Software considerations in airborne systems
  • DO-254: Design assurance for airborne electronic hardware
  • ARP4754A: Guidelines for development of civil aircraft systems
  • DO-326A: Airworthiness security process specification

Medical Device Standards

TRF medical extensions support medical device development:

  • IEC 62304: Medical device software lifecycle processes
  • ISO 14971: Application of risk management to medical devices
  • IEC 62366: Medical devices - Application of usability engineering
  • FDA 21 CFR Part 820: Quality system regulation

AI/ML Standards

TRF AI/ML extensions support emerging AI standards:

  • IEEE 2857: Privacy engineering for machine learning
  • ISO/IEC 23053: Framework for AI systems using ML
  • IEEE 2830: Technical standard for risk assessment of AI
  • NIST AI Risk Management Framework: AI RMF 1.0

Tool Ecosystem Integration

Import Capabilities

TRF tools can import from industry-standard formats:

# Import automotive AUTOSAR models
tw import autosar_model.arxml --domain automotive

# Import aerospace DO-178C artifacts
tw import certification_data.xml --domain aerospace

# Import medical device risk analysis
tw import risk_management.xlsx --domain medical

# Import AI/ML experiment tracking
tw import mlflow_runs.json --domain ai_ml

Export Capabilities

TRF can export to domain-specific formats:

# Export to automotive safety case format
tw export evidence.twpack --format gsn --domain automotive

# Export to aerospace certification documentation
tw export evidence.twpack --format do178c --domain aerospace

# Export to medical device submission format
tw export evidence.twpack --format fda510k --domain medical

# Export to AI/ML model registry
tw export evidence.twpack --format mlflow --domain ai_ml

Integration APIs

Standardized APIs enable tool integration:

# Python API for multi-domain analysis
import trf

# Load evidence from multiple domains
auto_evidence = trf.load("automotive_safety.twpack")
ai_evidence = trf.load("ml_models.twpack")

# Perform cross-domain traceability analysis
cross_domain_links = trf.trace_across(auto_evidence, ai_evidence)

# Generate compliance reports for specific standards
iso26262_report = trf.compliance_report(auto_evidence, standard="ISO26262")

This universal approach enables organizations to maintain domain-specific expertise while benefiting from standardized traceability data exchange and analysis capabilities.