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- W186663681 abstract "TRUBAC (Testing with RUle-BAse Coverage) is rule-base testing method which evaluates the effectiveness of test sets in covering relationships within the rule-base and identifies sections of the rule-base which have not been tested. This facilitates selection of additional test cases and can lead to a more accurate prediction of system reliability in real use (Barr 1995; 1996; 1997; 1998). However, it is not clear that the approach used in TRUBAC, which involves constructing a graph representation of the rule-base, will scale-up to larger systems. MVP-CA(Multi-ViewPoint Clustering Analysis) Tool (Mehrotra & Wild 1995), on the other hand, is an analysis tool to semi-automatically partition a rule-base system into clusters of related rules so as to expose its semantic underpinnings. MVP-CA tool is geared towards attacking the scalability problem for large rule-based systems by exposing mini-models in the underlying software architecture of the rule-base. It is for this reason that combining the techniques used in TRUBAC with the approach used in MVP-CA may lead to a very powerful rule-base testing tool. In the TRUBAC representation each node of the graph represents a single antecedent element, a single consequent, or a logical operator such as AND or OR. Edges represent connections from antecedent elements to operators and from operators to consequents. In the MVP-CA tool, clustering a rule-base with the data-flow metric breaks up the rule-base into related sections based on the antecedent-consequent relations connecting the rules. Thus it is conceivable that TRUBAC could be modified to operate over composite nodes formed from the MVP-CA clusters, providing a high-level view of the system being tested. The advantage of providing such a clustering facility for TRUBAC is two-fold: First, it would form a comprehension-aid base for testing a large rulebase by facilitating a pictorial representation of the di" @default.
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- W186663681 date "1998-01-01" @default.
- W186663681 modified "2023-09-24" @default.
- W186663681 title "Application of Clustering Analysis to Coverage Testing for Large KBS" @default.
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