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:
| Domain | Requirement Type | TRF Mapping | Standard |
|---|---|---|---|
| Automotive | Functional Safety Requirement | safety_requirement | ISO 26262 |
| Aerospace | High-Level Requirement | requirement + certification_plan | DO-178C |
| Medical | Software Requirement | requirement + safety_classification | IEC 62304 |
| AI/ML | Performance Requirement | requirement + model | IEEE 2857 |
Test Evidence Mapping
Verification approaches vary by domain but follow common patterns:
| Domain | Test Type | TRF Mapping | Evidence Format |
|---|---|---|---|
| Automotive | HIL Testing | test + component | Test vectors, coverage reports |
| Aerospace | Software Testing | test + verification_procedure | Test cases, structural coverage |
| Medical | Clinical Validation | test + clinical_evaluation | Clinical data, statistical analysis |
| AI/ML | Model Validation | test + experiment | Performance metrics, dataset splits |
Design Artifact Mapping
Design representations are domain-specific but share common structure:
| Domain | Design Type | TRF Mapping | Tool Integration |
|---|---|---|---|
| Automotive | AUTOSAR Architecture | design + component | ARXML export |
| Aerospace | Software Architecture | design + life_cycle_data | Model export |
| Medical | Software Architecture | design + risk_analysis | UML/SysML export |
| AI/ML | Model Architecture | design + model | ONNX, 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.