Development of a Standard Set of Indicators and Metrics for Artificial Intelligence (AI) and Expert System (ES) Software Development Efforts.

Abstract

The purpose of this research was to identify a standard set of indicators and metrics that can be used by program managers to improve their abilities to direct development efforts involving Artificial Intelligence (AI) and Expert Systems (ES). This research addresses two objectives. The first objective is to identify an appropriate set of software indicators and metrics to be used by government program offices for the management of development efforts involving software systems for AI and ES. The second objective is to demonstrate how the resources of the National Software Data and Information Repository (NSDIR) can be used in order to minimize the cost of the research endeavor and to demonstrate the value of the NSDIR as an information resource. A literature search identified a set of indicators and metrics that could be used by managers of AI and ES software development efforts. Data concerning Al and ES software development efforts were collected from the NSDIR. Unfortunately, substantiated conclusions regarding the value of the data in regards to AI and ES development efforts were unobtainable. The study did produce a recommended set of indicators and metrics that could serve as a feasible starting point for managers to use in the tailoring process for selecting indicators and metrics for AI and ES software development efforts.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1996
Accession Number
ADA317589

Entities

People

  • Derek F. Cossey

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Application Software
  • Artificial Intelligence
  • Computer Programming
  • Computer Programs
  • Computers
  • Expert Systems
  • Governments
  • Information Systems
  • Literature Surveys
  • Management Personnel
  • Personnel Management
  • Software Development
  • Software Metrics
  • Software Testing
  • Standards
  • Test And Evaluation
  • United States Strategic Command

Fields of Study

  • Computer science
  • Engineering

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy