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Model Configuration Control and Simulation Evidence Provenance

30 Chapters
View Course Samples Online
01
Course overview
scope, core concepts, and technical context of model configuration control and simulation evidence provenance.
technicalconfiguration
02
Configuration items and baselines
identifying model configuration items, establishing baselines, and defining configuration identification schemes for simulation models.
Configurationbaselines
03
Version control fundamentals for models
branching, tagging, merging, and repository structures tailored to simulation model artifacts.
branchingrepository
04
Model configuration management planning
roles, responsibilities, change control boards, and configuration management plans aligned with simulation lifecycle.
configurationmanagement
05
Change control workflows
request initiation, impact analysis, approval, implementation, and verification for model modifications.
workflowsinitiation
06
Configuration audits
functional configuration audits, physical configuration audits, and audit checklists for simulation models.
Configurationfunctional
07
Provenance data models
entities, agents, activities, and relationships for capturing simulation evidence lineage.
Provenanceentities
08
Provenance capture mechanisms
instrumentation, logging, and metadata extraction from simulation execution environments.
Provenancemechanisms
09
Simulation evidence artifacts
inputs, outputs, intermediate results, and their provenance attributes.
Simulationevidence
10
Traceability links
connecting requirements, model versions, simulation runs, and evidence artifacts.
Traceabilityconnecting
11
Metadata standards for provenance
PROV-O, W3C PROV, and domain-specific extensions for simulation evidence.
Metadatastandards
12
Configuration control in collaborative environments
distributed teams, access control, and conflict resolution for model repositories.
Configurationcollaborative
13
Tooling for model configuration control
version control systems, model repositories, and configuration management databases.
configurationrepositories
14
Tooling for provenance capture
workflow engines, logging frameworks, and provenance-aware simulation platforms.
provenanceworkflow
15
Integrating configuration control with provenance
linking commits, tags, and baselines to provenance records.
Integratingconfiguration
16
Simulation experiment management
defining experiment configurations, parameter sweeps, and provenance of experiment designs.
Simulationexperiment
17
Reproducibility and provenance
using configuration control and provenance to enable repeatable simulation experiments.
Reproducibilityprovenance
18
Verification and validation evidence
capturing V&V activities, results, and their provenance in the model lifecycle.
Verificationvalidation
19
Configuration control for simulation models
handling model dependencies, libraries, and external components.
Configurationsimulation
20
Provenance visualization and querying
techniques and tools for exploring simulation evidence provenance graphs.
Provenancevisualization
21
Security and integrity of provenance data
tamper-evidence, digital signatures, and access control for provenance records.
Securityintegrity
22
Regulatory and compliance aspects
using configuration control and provenance to meet standards and regulations.
Regulatorycompliance
23
Case study
implementing configuration control for a complex simulation model in an engineering domain.
implementingconfiguration
24
Case study
capturing and using provenance in a simulation-based study for decision support.
capturingprovenance
25
Scaling configuration control and provenance
handling large models, high-frequency simulations, and distributed data.
configurationprovenance
26
Provenance analytics
deriving insights from provenance data to improve model quality and process efficiency.
Provenanceanalytics
27
Configuration control and provenance in model-based systems engineering
integration with SysML and digital threads.
Configurationprovenance
28
Provenance for machine learning models in simulation
tracking training data, hyperparameters, and model versions.
Provenancesimulation
29
Practical workshop
setting up a configuration-controlled model repository with provenance capture.
workshopconfiguration-controlled
30
Future directions
emerging standards, automation, and AI-assisted provenance management for simulation evidence.
directionsemerging