Prediction and Analysis of Testability Attributes: Organizational-Level Testability Prediction.

Abstract

A program was undertaken to develop prediction procedures for organizational-level testability attributes. This report describes the first phase of that effort: the establishment of definitions and mathematical frameworks, together with the feasibility of continuing to pursue the ultimate objective of developing a model that will predict the testability attributes. The initial phase has concentrated on the three most commonly specified descriptors of system testability: fraction of faults detected (FFD); fraction of faults isolated (FFI), and fraction of false alarms (FFA). Keywords: Algorithms; Mathematical models; Set theory.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1986
Accession Number
ADA167957

Entities

People

  • Eugene Esker
  • John H. Bailey
  • Katherine B. Barto
  • William R. Simpson

Organizations

  • ARINC

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Equipment
  • Computers
  • Detection
  • Engineers
  • Failure Analysis
  • Failure Mode And Effect Analysis
  • Inertial Navigation
  • Inertial Navigation Systems
  • Information Systems
  • Logistics
  • Maintenance
  • Maintenance Management
  • Maintenance Personnel
  • Test And Evaluation
  • Test Equipment
  • War Colleges

Fields of Study

  • Engineering

Readers

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