Length: 2 Days
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High-Fidelity Simulation V&V for Air Mobility Agile Systems and Software Essentials Training by Tonex

High-Fidelity Simulation V&V for Air Mobility Agile Systems and Software Essentials

This intensive 2-day course provides systems and software engineers with the knowledge and skills to apply high-fidelity simulation techniques for Verification and Validation (V&V) in Agile development environments. You will explore how to leverage simulation and modeling tools to validate system behavior, assess performance, and support decision-making under evolving requirements and rapid iteration cycles.

Designed for complex systems and mission-critical software, this course integrates Model-Based Systems Engineering (MBSE), simulation-driven design, and Agile V&V workflows. Emphasis is placed on aligning simulation fidelity with V&V goals, verifying software in continuous integration pipelines, and validating system behavior across development increments.

Learning Objectives

By the end of this course, participants will be able to:

  • Understand the principles of high-fidelity simulation in complex systems and software.
  • Apply NASA’s V&V standards and the Systems Engineering Handbook to simulation-based development.
  • Integrate Agile practices with V&V processes for iterative simulation validation.
  • Implement DoD VV&A methodologies to ensure simulation credibility and accreditation.
  • Design and execute validation against real-world performance benchmarks.
  • Perform verification to ensure the simulation is correctly built and functions per requirements.

Target Audience

  • Systems and software engineers
  • Simulation and modeling professionals
  • QA/V&V specialists
  • Program managers and technical leads
  • NASA and aerospace contractor staff

Prerequisites

  • Basic knowledge of systems engineering and software development lifecycle.
  • Familiarity with Agile concepts is helpful but not mandatory.

Course Agenda:

DAY 1: Foundations and Planning

Module 1: Introduction to High-Fidelity Simulation

  • Definitions and levels of fidelity
  • Use cases in aerospace, defense, and critical systems
  • Benefits and risks
  • NASA examples (e.g., Orion, Mars missions)
  • Understanding Fidelity: Fidelity refers to the accuracy of a model or simulation when compared to the real world.
  • Components of Fidelity Dimensions
    • Resolution: The level of detail in the simulation.
    • Accuracy: The closeness of simulation outcomes to real-world data.
    • Sensitivity: How simulation outputs respond to variations in input parameters.
    • Precision: The consistency of simulation results under unchanged conditions.
    • Capability: The extent to which the simulation can replicate the behaviors of the real-world system.

Module 2: Simulation in Systems and Software Development

  • Integration in Model-Based Systems Engineering (MBSE)
  • Software-in-the-loop (SIL), Hardware-in-the-loop (HIL)
  • Simulation lifecycle alignment with product lifecycle

Module 3: NASA V&V Standards Overview

  • NASA-STD-7009: Standards for Models and Simulations
  • NASA-STD-8739.8: Software Assurance and Software Safety
  • How V&V supports mission assurance
  • Verification vs. validation in the NASA context

Module 4: V&V Planning

  • V&V Plan vs. Test Plan vs. QA Plan
  • Key elements of a simulation V&V strategy
  • Stakeholder involvement and requirements traceability
  • Work session: Draft a high-level simulation V&V plan using NASA templates

DAY 2: Agile Integration and V&V Execution

Module 5: V&V Execution Techniques for Simulations

  • Data integrity, initialization, and assumptions
  • Model validation against real-world data
  • Numerical accuracy, robustness, and sensitivity analysis
  • Use of test oracles and scenario-based testing

Module 6: Agile and Iterative V&V

  • V&V in Agile sprints and increments
  • Agile backlog integration of simulation V&V tasks
  • Continuous integration of simulations
  • NASA Agile guidance for SE and V&V

Module 7: Case Study – NASA Simulation V&V

  • Overview of a NASA project (e.g., simulation for Mars Entry, Descent, and Landing)
  • V&V challenges and outcomes
  • Lessons learned in Agile vs. traditional V&V

Module 8: V&V Reporting and Closure

  • Reporting results in technical reviews (PDR, CDR, TRR)
  • Metrics for simulation validation
  • Residual risk and uncertainty
  • Final review exercise: Prepare a V&V summary for a hypothetical mission-critical simulation

Deliverables

Participants receive:

  • Simulation V&V Planning Template (NASA-aligned)
  • Sample Agile sprint board with integrated V&V tasks
  • V&V Criteria Checklist for high-fidelity models
  • Case study briefs and solutions

Interactive Exercises and Group Workshops

  • Interactive Exercise 1: Simulation Fidelity Scale Mapping
    • Participants evaluate 3 example models and classify them as low/medium/high fidelity. Discuss implications for V&V scope and complexity.
    • Systems & Software Simulation Lifecycle
    • Integration with MBSE
    • SIL, PIL, HIL systems
  • Mini-Lab 1: Simulation Thread Mapping
    • Use a NASA mission scenario (e.g., Mars lander or robotic arm) and identify software and system simulation interdependencies.
  • Exercise: V/V/A Identification Roleplay
    • Participants analyze a simulation scenario and roleplay as V/V or Accreditation authorities. Groups develop a consensus on acceptability.
  • Group Workshop: Develop a V&V Plan Outline
    • Use a provided simulation scenario (e.g., satellite orbital dynamics sim) and build an outline plan:
  • Objectives
  • V&V techniques
  • Acceptance criteria
  • Team roles
  • Mini-Lab 2: Fault Injection Walkthrough
    • Participants use provided logs from a simulation run with and without fault injection to spot V&V gaps.
    • Agile Simulation Sprint Board Exercise
  • Participants organize tasks from a backlog into Agile sprints, integrating V&V into:
  • Acceptance criteria
  • Daily test planning
  • Incremental validation points
  • Simulation V&V Closure and Reporting
  • Technical reviews (CDR, TRR, PDR)
  • V&V reporting
  • Accreditation statements
  • Match real-world systems to simulation types (HIL, SIL, physics-based models) and assess fidelity needs and risks.
  • Simulation V&V Planning Workshop:
    • Build a traceability matrix linking simulation requirements to validation criteria and verification tests.
    • Case Exercise:
    • Analyze a case study simulation from DAU’s archive and determine whether it is validation-complete, verification-complete, or requires further work.
  • Capstone Group Project:
    • Build and present a simulation V&V closeout report. Include:
    • Verification test results summary
    • Validation evidence package
    • Accreditation recommendation
    • Final judgment of simulation credibility
    • Fidelity Assessment in Validation
    • Avoiding Oversimplification
    • Validation Metrics
    • Fidelity Impact Analysis: Participants will evaluate how variations in each fidelity component affect the validation outcomes of a simulation, using real-world data sets for comparison.
    • Fidelity in Accreditation Decisions: Exploring how fidelity assessments inform accreditation decisions and the acceptance of simulations for specific applications.
    • Risk Management: Understanding how deficiencies in fidelity components can introduce risks, and developing strategies to mitigate these risks.
    • Interactive Exercise:
    • Accreditation Case Study: Participants will review a case study where fidelity assessments played a crucial role in the accreditation process, identifying best practices and lessons learned.
  • Optional Exam: Certified High-Fidelity Simulation V&V Professional (CFHSV) – Certificate in High-Fidelity Simulation V&V Program by Tonex
    • Validated through completion of practical labs, group activities, and a final report exercise.

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