Date of Award


Document Type


Degree Name

Master of Science

First Advisor

Daniel Ferens, PhD


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.

AFIT Designator


DTIC Accession Number



Presented to the Faculty of the Graduate School of Logistics and Acquisition Management of the Air Force Institute of Technology