Analysis of the State of the Art Contingency Analysis Model (SOTACA), Air Module Verification

Abstract

All computer simulation models require verification and validation if the studies conducted using these models are to have any credibility; however, in an effort to get a model up and running, or study completed, the verification and validation process is delayed and may never get done. The State of the Art Contingency Analyst (SOTACA) Model is a good example. This paper introduces the general issue of model verification and validation and explains the current efforts done in this area on SOTACA. In addition, a methodology for verifying SOTACA's Air Module and the findings from this verification is given. Background information on SOTACA is given to include general operation of the model, the operation and purpose of SOTACA's Air Module, and the comments and results from previous tests and reports conducted by SOTACA's users. These reports show very little previous testing has been done on SOTACA's Air Module. The methodology used, was to build a data base, scenario, and test cases to test specific functional areas of the Air Module. The findings give problems encountered while installing, preparing the data base, and running the model. (kr)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1990
Accession Number
ADA220473

Entities

People

  • Charles L. Buckingham

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Defense
  • Air Force
  • Ammunition
  • Attrition
  • Beta Testing
  • Case Studies
  • Military Organizations
  • Munitions
  • Plastic Explosives
  • Task Forces
  • Test And Evaluation
  • United States Central Command
  • Urban Areas
  • Validation
  • Verification
  • War Colleges
  • Warfare

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Electrochemical Surface Science
  • Software Engineering