Automated testing for knowledge based systems

  • Authors:

  • Ronald Hartung;Anne Håkansson

  • Affiliations:

  • Department of Computer Science, Franklin University, Columbus, Ohio;Department of Information Science, Computer Science, Uppsala University, Uppsala, Sweden

  • Venue:
  • KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
  • Year:
  • 2007

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Abstract

Building and modifying knowledge-based systems requires testing of the knowledge for quality assurance, such as verification and validation. This is especially important when reverse engineering is applied to a system that needs to be remodeled or renewed. However, the modification of a knowledge-based system is a difficult process. Commonly, the documentation is poor, and the original domain expertise is lacking. Therefore, testing must be applied on existing knowledge to be able to verify the changed knowledge. To this objective we apply an automated test generation system to verify the operation of the modified system.