Abstract
In artificial intelligence, many researchers have proposed several expert system development approaches but most of them failed to deal with two issues, maintenance and analysis. It is better to find an alternative solution from other areas, rather than to waste time waiting any longer. We found that researchers in computer software development also have been suffering from the difficulty of maintenance and analysis, just as in the expert system development area. To solve this problem, agile software development is used to overcome the difficulty of analysis, and business rules approach is utilised for removing maintenance issues. We believe that the two approaches are the ideal solutions that are able to formalize the expert system development process. In this paper, we outline this novel approach, Multiple Classification Ripple Down Rule, which is based on agile software development and business rules approach.
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Yoon, H., Han, S.C., Kang, B.H., Park, SB. (2012). V&V to Use Agile Approach in ES Development: Why RDR Works for Expert System Developments!. In: Kim, Th., Ramos, C., Kim, Hk., Kiumi, A., Mohammed, S., Ślęzak, D. (eds) Computer Applications for Software Engineering, Disaster Recovery, and Business Continuity. Communications in Computer and Information Science, vol 340. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35267-6_15
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DOI: https://doi.org/10.1007/978-3-642-35267-6_15
Publisher Name: Springer, Berlin, Heidelberg
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