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IPSJ Digital Courier
Article . 2006 . Peer-reviewed
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Model Checking Active Database Rules under Various Rule Processing Strategies

Authors: Eun-Hye Choi; Tatsuhiro Tsuchiya; Tohru Kikuno;

Model Checking Active Database Rules under Various Rule Processing Strategies

Abstract

An active database is a database system that can react to internal, as well as external, database events. The reactive behavior of an active database is determined by a predefined set of active database rules, along with a rule processing strategy. A common problem associated with active database systems is the possible non-termination of the active database rules. Previous work on the analysis of the conditions required for the termination of active database rules has only considered limited rule processing strategies. This paper proposes an approach for automatically detecting the non-termination of active database rules using a model checking technique. With this approach, a general framework for modeling active database systems is first proposed. This framework is useful for analyzing the behavior of rules with different rule processing strategies and for allowing the adoption of different contexts and different execution coupling modes for the active database rules. Based on the proposed modeling framework, the termination property of active database rules with various rule processing strategies is next checked using SPIN, a model checking tool. Through experimental results, we demonstrated the feasibility of using this method.

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Average
Average
gold