A graph-based approach for rule integrity and maintainability in expert system maintenance

Kunihiko Higa, Ho Geun Lee

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)


Just as conventional software systems have maintenance costs far exceeding development costs, so too do rule-based expert systems. They are frequently developed by an incremental and iterative method, where knowledge and decision rules are extracted and added to the system in a piecemeal manner throughout system evolution. Thus, ensuring the correctness and consistency of the rule base (RB) becomes an important, though challenging task. However, most research work in expert systems has focused on building and validating rule bases, leaving the maintenance issue unexplored. We propose a graphbased approach, called the object classification model (OCM), as a methodology for RB maintenance. An experiment was conducted to compare the OCM with traditional RB maintenance methods. The results show that the OCM helps knowledge engineers retain rule-base integrity and, thus, increase rule-base maintainability.

Original languageEnglish
Pages (from-to)273-285
Number of pages13
JournalInformation and Management
Issue number6
Publication statusPublished - 1998 Jun 22

All Science Journal Classification (ASJC) codes

  • Management Information Systems
  • Information Systems
  • Information Systems and Management


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