The University of Southampton
University of Southampton Institutional Repository

A tool-supported approach to inter-tabular verification

Vanthienen, J., Mues, C., Wets, G. and Delaere, K. (1998) A tool-supported approach to inter-tabular verification Expert Systems with Applications, 15, (3-4), pp. 277-285. (doi:10.1016/S0957-4174(98)00047-5).

Record type: Article

Abstract

The use of decision tables to verify knowledge based systems (KBS) has been advocated several times in the validation and verification (V&V) literature. However, one of the main drawbacks of these systems is that they fail to detect anomalies that occur over rule chains. In a decision table based context this means that anomalies that occur due to interactions between tables are neglected. These anomalies are called inter-tabular anomalies. In this paper we investigate an approach that deals with inter-tabular anomalies. One of the prerequisites for the approach was that it could be used by the knowledge engineer during the development of the KBS. This requires that the anomaly check can be performed on-line. As a result, the approach partly uses heuristics where exhaustive checks would be too inefficient. All detection facilities that will be described have been implemented in a table-based development tool called . The use of this tool will be briefly illustrated. In addition, some experiences in verifying large knowledge bases are discussed.

Full text not available from this repository.

More information

Published date: 1998
Keywords: decision tables, modular KBS, V&V

Identifiers

Local EPrints ID: 36161
URI: http://eprints.soton.ac.uk/id/eprint/36161
ISSN: 0957-4174
PURE UUID: b3c88db3-3b37-4604-88e0-174f5436d894

Catalogue record

Date deposited: 01 Aug 2006
Last modified: 17 Jul 2017 15:45

Export record

Altmetrics

Contributors

Author: J. Vanthienen
Author: C. Mues
Author: G. Wets
Author: K. Delaere

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×