Myrtle : A Set-Oriented Meta-Interpreter Driven by a «Relational» Trace for Deductive Databases Debugging

Sarah Mallet 1 Mireille Ducassé 1
1 Lande - Logiciel : ANalyse et DEveloppement
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Deductive databases manage large quantities of data and, in general, in a set-oriented way. The existing systems of explanation for deductive databases do not take these constraints into account. We propose a tracing technique which consists of integrating a "relational" trace and an instrument- ed meta-interpreter using substitution sets. The relational trace efficiently gives precise information about data extraction from the relational database. The meta-interpreter manages substitution sets and gives explanation on the deduction. The expensive aspects of meta-interpretation are reduced by the use of the trace which avoids many calculations. The flexibility of meta-interpretation is preserved. It allows different profiles of trace to be easily produced.
Type de document :
Rapport
[Research Report] RR-3598, INRIA. 1999
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https://hal.inria.fr/inria-00073081
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 11:48:47
Dernière modification le : mercredi 16 mai 2018 - 11:23:03
Document(s) archivé(s) le : dimanche 4 avril 2010 - 21:40:00

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  • HAL Id : inria-00073081, version 1

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Sarah Mallet, Mireille Ducassé. Myrtle : A Set-Oriented Meta-Interpreter Driven by a «Relational» Trace for Deductive Databases Debugging. [Research Report] RR-3598, INRIA. 1999. 〈inria-00073081〉

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