A METHODOLOGY FOR COMPARISON OF GENERALIZED DATA MANAGEMENT SYSTEMS: PEGS (PARAMETRIC EVALUATION OF GENERALIZED SYSTEMS)

Abstract

The objective of this research study contract was to develop a practical technique evaluating generalized data management systems. This report describes the technique that was developed for the quantitative evaluation of the relative effectiveness of large on-line generalized data management systems. Parametric Evaluation of Generalized Systems (PEGS) is a procedure based on analysis of user-oriented system parameters. The utility of a system is measured in terms of its usefulness in a particular application environment. The over- all effectiveness of the system is evaluated, rather than any individual hardware or software component. A large number of system parameters is described. Each parameter is a value attribute of a data management system, with respect to its capability, its ease of use, or its performance. Techniques are specified for measuring the utility of a system to the user in terms of each parameter. These measurements of individual parameter utility are expressed as ratings based on a standard scale. Each rating is weighed by a measure of its relative importance in a particular application. Finally, a single numeric figure-of-merit is computed for each generalized data management system evaluated.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1967
Accession Number
AD0811682

Entities

People

  • Anthony J. Dowkont
  • T. D. Buettell
  • William A. Morris

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Processing
  • Data Processing Equipment
  • Databases
  • Information Processing
  • Information Systems
  • Management Personnel
  • Operating Systems
  • Personnel Management
  • Processing Equipment
  • Programming Languages
  • System Software
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Software Engineering.