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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.
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Submitted on : Wednesday, May 24, 2006 - 11:48:47 AM
Last modification on : Friday, February 4, 2022 - 3:22:27 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:40:00 PM


  • HAL Id : inria-00073081, version 1


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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