Towards a suite of quality metrics for KADS-domain knowledge |
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| Authors: | Doaa Nabil Abeer EL-Korany A Sharaf Eldin |
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| Affiliation: | aInformation System, Modern Academy, Maadi, Egypt;bComputer Science, Faculty of Computers and Information, Cairo University, Egypt;cFaculty of Computers and Information, Helwan University, Egypt |
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| Abstract: | In this paper, the quality metrics suite for object oriented (OO) design is partially used as an initial concept to develop metrics for statically measuring quality of KADS-domain knowledge bases. KADS-domain knowledge bases have common characteristics with OO, and other distinct features that limit the usage of some OO quality metrics. Therefore, new sets of domain knowledge quality metrics are proposed. The proposed matrices are enriched with an automatic tool used to measure quality of real world expert systems. In order to assess the effectiveness of these proposed quality metrics, these metrics were applied on a sample of real world agriculture application domains developed by CLAES (The Central Laboratory of Agriculture Expert System). Finally, complete analysis of the results obtained due to applying these metrics is presented. |
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| Keywords: | KADS Quality metrics Expert systems domain knowledge quality |
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