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Physical Test Coverage Planning for Virtual Validation

30 Chapters
View Course Samples Online
01
Physical test coverage planning fundamentals
definitions, objectives, and the role of coverage in virtual validation workflows.
Physicalcoverage
02
Virtual validation landscape
simulation platforms, model-in-the-loop, software-in-the-loop, and hardware-in-the-loop contexts for coverage planning.
validationlandscape
03
Coverage metrics taxonomy
structural, functional, scenario-based, and requirement-based coverage measures for physical systems.
Coveragetaxonomy
04
Mapping physical test requirements to virtual coverage
traceability from test objectives to simulation scenarios and acceptance criteria.
physicalrequirements
05
System under test modeling for coverage
abstraction levels, fidelity trade-offs, and model boundary definition.
modelingcoverage
06
Operational design domain (ODD) characterization
identifying parameters, ranges, and constraints that drive coverage needs.
OperationalODD
07
Scenario space definition
parameter spaces, combinatorial explosion, and systematic scenario generation strategies.
Scenariodefinition
08
Coverage-driven scenario sampling
equivalence partitioning, boundary value analysis, and combinatorial test design (pairwise, orthogonal arrays).
Coverage-drivenscenario
09
Risk-based coverage prioritization
failure mode effects analysis (FMEA), hazard analysis, and criticality scoring for scenario selection.
Risk-basedcoverage
10
Sensor and perception coverage in virtual environments
field-of-view, detection ranges, environmental conditions, and sensor models.
perceptioncoverage
11
Vehicle dynamics and control coverage
maneuver coverage, limit handling, and actuator response validation in simulation.
dynamicscoverage
12
Environmental and infrastructure coverage
road types, weather, lighting, and traffic density representation in virtual test beds.
Environmentalinfrastructure
13
Fault injection and robustness coverage
failure modes, degradation scenarios, and fault-tolerant behavior validation.
injectionrobustness
14
Coverage measurement and instrumentation
logging, metrics collection, and coverage analysis tools for simulation runs.
Coveragemeasurement
15
Coverage gap analysis
identifying untested regions, sensitivity analysis, and feedback into scenario generation.
Coverageanalysis
16
Statistical coverage and confidence
sample size determination, probabilistic coverage, and reliability estimation from virtual tests.
Statisticalcoverage
17
Regression coverage planning
change impact analysis, test selection, and maintaining coverage across software iterations.
Regressioncoverage
18
Coverage optimization under resource constraints
cost models, simulation budget allocation, and efficient test suite design.
Coverageoptimization
19
Integrating physical and virtual test coverage
hybrid strategies, test transferability, and correlation of virtual and physical results.
Integratingphysical
20
Standards and regulatory perspectives
ISO 26262, ISO 21448 (SOTIF), UL 4600, and coverage expectations for virtual validation.
Standardsregulatory
21
Toolchain and automation for coverage planning
simulation frameworks, test management, and continuous integration pipelines.
Toolchainautomation
22
Case study
coverage planning for an advanced driver-assistance system (ADAS) feature in a virtual environment.
coverageplanning
23
Case study
coverage planning for an autonomous driving system across urban and highway ODDs.
coverageplanning
24
Case study
coverage planning for an aerospace flight control system using model-in-the-loop simulation.
coverageplanning
25
Case study
coverage planning for a robotic manipulator in a virtual commissioning environment.
coverageplanning
26
Coverage plan documentation and review
templates, traceability matrices, and audit readiness.
Coveragedocumentation
27
Metrics dashboard and reporting
visualizing coverage progress, gaps, and confidence for stakeholders.
dashboardreporting
28
Continuous coverage improvement
lessons learned, feedback loops, and updating coverage models with field data.
Continuouscoverage
29
Emerging trends
AI-based scenario generation, adaptive sampling, and digital twin integration for coverage planning.
EmergingAI-based
30
Capstone project
develop a complete physical test coverage plan for a virtual validation campaign, including scenario definition, metrics, and gap analysis.
Capstonecomplete