Establishing System Measures of Effectiveness

Abstract

One of the most important tasks in the systems development process is that of performance analysis. It is needed to ensure that the system meets its requirements, is delivered on schedule, and developed within allocated costs. It consists of two phases: performance prediction and performance measurement. Proper selection of performance measurement attributes is essential to this process. These measurement attributes commonly called 'measures of effectiveness' or 'MOEs' provide quantifiable benchmarks against which the system concept and implementation can be compared. Early in the life of a system, prediction is required for feasibility and specification development. Towards the end of systems implementation and development, performance measurement techniques play a ma or role in system testing and verification. Choosing incorrect MOEs will result in a system that does not meet customer expectations. This paper introduces a comprehensive and systematic process by which viable MOEs that quantify and analyze system performance may be developed. The approach is based on research into Command and Control System evaluation performed at the Naval Postgraduate School during the late 1980's. This paper extends the research to open systems in general and develops several of the original theoretical concepts in more detail.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2001
Accession Number
ADA405408

Entities

People

  • John M. Green

Organizations

  • RTX

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Antisubmarine Warfare
  • Boats
  • Command And Control
  • Command And Control Systems
  • Detectors
  • Engineering
  • Engineers
  • Hierarchies
  • Information Systems
  • Measures Of Effectiveness
  • Military Operations
  • Operations Research
  • System Of Systems
  • Systems Engineering
  • Systems Management
  • Weapon System Effectiveness
  • Weapon Systems

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management
  • Software Engineering

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control