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Using MCRDR based Agile approach for expert system development

Citation

Han, SC and Yoon, H-G and Kang, BH and Park, S-B, Using MCRDR based Agile approach for expert system development, Computing, 96, (9) pp. 897-908. ISSN 0010-485X (2014) [Refereed Article]

Copyright Statement

Copyright 2013 Springer-Verlag Wien

DOI: doi:10.1007/s00607-013-0336-y

Abstract

Various expert system development approaches were proposed but most of them cannot deal with two problems: the difficulty of analysis and maintenance. Rather than to spend time waiting any longer, it is better to find an alternative solution from other research fields. In computer software development area, researchers have been suffering from the difficulty of maintenance and analysis, just as the researchers in the expert system development field. To solve this issue, researchers in the software used both agile software development and business rules approach: agile software development is for overcoming the the difficulty of analysis, and business rules approach is for reducing issues in the maintenance. There is a big opportunity that those two approaches can also be solve the two issues in the expert system development field. The paper describes requirements of the approach based on agile software development and the business rules approach. As a result, we consider and specify why the Multiple Classification Ripple Down Rules is the novel approach for the expert system development.

Item Details

Item Type:Refereed Article
Keywords:MCRDR, Agile approach, wxpert system
Research Division:Information and Computing Sciences
Research Group:Artificial Intelligence and Image Processing
Research Field:Expert Systems
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Information and Computing Sciences
Author:Han, SC (Ms Caren Han)
Author:Kang, BH (Professor Byeong Kang)
ID Code:85291
Year Published:2014 (online first 2013)
Web of Science® Times Cited:2
Deposited By:Computing and Information Systems
Deposited On:2013-06-26
Last Modified:2017-12-04
Downloads:0

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