Interim Experiment Design Model for Verification and Validation of Training Simulators.

Abstract

This study centers on the use of interim experimentation for verification and validation of training simulators. The first portion of the study focuses on the development of a structured approach for interim experimentation for verification and validation of training simulators. The result is an Interim Experiment Design Model. The second portion applies the Interim Experiment Design Model to a training simulator currently under development. The model is developed from current verification and validation theory, systems engineering principles, quality assurance theory, and experimental design techniques. This development results in a model with three steps. The user must initially determine the number of levels to include in interim experimentation. The next step requires development of the sample used in the experiment. The final portion provides progression rules for moving from one level to another. The model is illustrated by applying it to the Advanced Gunnery Training System. The interim experiment design model provides a management tool that will improve the organization of interim experimentation and verification and validation efforts. This improved organization allows for detection of errors early in the product life cycle. The efficiency of subsequent experiments will be enhanced as a result The early detection of errors coupled with the improved efficiency will provide verification and validation at reduced cost Recommendations are made to continue research to find application methods for other tools available in acceptance sampling and experimental design theory.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1996
Accession Number
ADA307660

Entities

People

  • Christopher M. Hill

Organizations

  • University of Central Florida

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Acceptance Tests
  • Databases
  • Debugging
  • Engineering
  • Experimental Design
  • Life Cycles
  • Literature Surveys
  • Motivation
  • Quality Control
  • Simulators
  • Software Testing
  • Systems Engineering
  • Systems Management
  • Test And Evaluation
  • Test Methods
  • Training
  • Training Management

Readers

  • Computational Modeling and Simulation
  • Military Training and Readiness Simulation
  • Software Engineering