Developing a Model-Based Approach to Forecast a Competitor's System

Abstract

The purpose of this research is to develop a model-based approach to intelligence forecasting of a competitors system. This analysis currently uses a document-based practice to capture all knowledge of the forecast and its development. A framework of antithesis processes, or Anti-Processes, were derived from the systems engineering technical processes. This was then combined with analytical tradecraft from the field of competitive technical intelligence to build a SysML reference model, which was then applied to a small case study to enhance and refine the model. The Anti-Process framework and SysML reference model provide a rigorous, model-based approach to intelligence forecasts of competitor's systems.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2022
Accession Number
AD1178947

Entities

People

  • Christopher A Del Vecchio

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Cyber

DTIC Thesaurus Topics

  • Air Force
  • Case Studies
  • Commerce
  • Data Science
  • Delphi Method
  • Department Of Defense
  • Engineering
  • Intelligence Analysis
  • Intelligence Cycle
  • Knowledge Management
  • Life Cycles
  • Machine Learning
  • Model Based Systems Engineering
  • Psychology
  • Reasoning
  • Simulations
  • Standards
  • System Of Systems
  • Systems Engineering
  • Technical Intelligence
  • United States

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.
  • Systems Analysis and Design