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Safety Evidence Traceability from Test Conditions to Models

30 Chapters
View Course Samples Online
01
Safety evidence traceability fundamentals
definitions, regulatory drivers (ISO 26262, DO-178C, IEC 61508), and the test-condition-to-model evidence chain.
evidencetraceability
02
Evidence artifacts and lifecycle
test specifications, test results, coverage reports, model versions, and traceability link semantics across V-model phases.
Evidenceartifacts
03
Test condition taxonomy for safety evidence
boundary values, equivalence classes, fault injection conditions, and environmental stressors mapped to safety requirements.
conditiontaxonomy
04
Model artifacts in safety cases
behavioral models, fault tree models, FMEA tables, and simulation models as traceable evidence nodes.
artifactsbehavioral
05
Traceability information models
metamodels, link types (satisfies, verifies, mitigates), and ontology design for test-to-model evidence graphs.
Traceabilityinformation
06
Requirements-to-test traceability
deriving test conditions from safety goals and allocating verification evidence to model elements.
Requirements-to-testtraceability
07
Test-to-model linking techniques
annotation-based, model-based, and NLP-assisted link recovery between test cases and model constructs.
Test-to-modeltechniques
08
Tooling landscape for traceability
requirements management (DOORS, Polarion), test management (TestRail, ALM), and model repositories (Simulink, SCADE).
landscapetraceability
09
Establishing traceability in a CI/CD pipeline
automated link generation, test execution hooks, and evidence capture from automated test runs.
Establishingtraceability
10
Traceability data modeling and storage
graph databases, RDF/OWL representations, and query patterns for evidence retrieval.
Traceabilitymodeling
11
Coverage-driven traceability
structural coverage (MC/DC, decision coverage) linked to model coverage metrics and gap analysis.
Coverage-driventraceability
12
Change impact analysis
propagating model changes to affected test conditions and updating evidence links with versioning.
analysispropagating
13
Traceability for fault injection and robustness testing
linking fault campaigns to model failure modes and safety mechanisms.
Traceabilityinjection
14
Simulation-based evidence
co-simulation test conditions, scenario-to-model mapping, and credibility assessment of simulation evidence.
Simulation-basedevidence
15
Traceability in model-based systems engineering
SysML/AML link semantics and integration with safety analysis models.
Traceabilitymodel-based
16
Evidence consistency checking
detecting orphan tests, stale links, and contradictory evidence across test and model repositories.
Evidenceconsistency
17
Traceability metrics and dashboards
completeness, link density, freshness, and audit readiness indicators for safety evidence.
Traceabilitydashboards
18
Auditing and assessment
preparing traceability evidence for functional safety assessments and certification audits.
Auditingassessment
19
Case study
automotive ISO 26262 traceability from test conditions to Simulink models in an ADAS project.
automotiveISO
20
Case study
aerospace DO-178C traceability from test procedures to Simulink/Stateflow models in a flight control system.
aerospaceDO-178C
21
Case study
industrial IEC 61508 traceability for safety instrumented systems with model-based test evidence.
industrialIEC
22
Traceability patterns and anti-patterns
reusable link schemas, common failure modes, and remediation strategies.
Traceabilitypatterns
23
Practical lab
building a traceability graph from sample test conditions to model elements using a graph database.
buildingtraceability
24
Practical lab
automating test-to-model link creation with a CI pipeline and generating an evidence report.
automatingtest-to-model
25
Practical lab
performing change impact analysis on a model update and updating traceability links.
performinganalysis
26
Practical lab
implementing consistency checks and traceability metrics for a safety evidence repository.
implementingconsistency
27
Traceability for AI/ML safety evidence
linking test conditions to trained model behaviors and data coverage evidence.
TraceabilityAI/ML
28
Emerging standards and trends
UL 4600, ISO 21448 (SOTIF), and traceability requirements for autonomous systems.
Emergingstandards
29
Scalability and performance
handling large evidence graphs, incremental linking, and distributed traceability across suppliers.
Scalabilityperformance
30
Capstone project
end-to-end traceability from test conditions to models for a safety-critical subsystem, including evidence package and audit simulation.
Capstoneend-to-end