An Analysis of Output-based Partition Testing for Heuristic Classification Expert Systems

Imran A. Zualkernan and Yuan-Ying Lin

Although a host of testing methods have been proposed for expert systems, little work has been done to compare effectiveness of these methods. This paper presents an analysis of various parameters that govern the effectiveness of output based partition testing strategies for heuristic classification expert systems.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.