By Topic

Managing AI system development in critical large scale applications

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)

It is shown that it is possible to manage the introduction of an AI-based technology into an existing nonstandard mainframe-based computing environment within tight timescales and under the requirement of a very high level of quality. The introduction of this automation to SWIFT's (Society of Worldwide Interbank Financial Telecommunications) core business has necessitated the use of a project management approach which could ensure efficiency of resource usage and maintain close quality control (from the user's standpoint) as the system is developed. These challenges have been met by a combination of factors, the most important of which have been the use of a small but high-quality development team and the incremental cycle model of software development. These techniques are made possible by the nature of today's expert system development tools and represent a considerable departure from traditional software development practices

Published in:

Artificial Intelligence Applications, 1990., Sixth Conference on

Date of Conference:

5-9 May 1990