2019•Unpublished venueRequires access

MetaDL: analysing Datalog in Datalog

Alexandru Dura, Hampus Balldin, Christoph Reichenbach

Abstract

Datalog has emerged as a powerful tool for expressing static program analyses. Program analysis researchers have built nontrivial code bases in Datalog, but tool support for working with Datalog itself has been lacking. In this paper, we introduce MetaDL, a language extension to Datalog that enables source-level Datalog program analysis within Datalog. We describe several program analyses implemented in MetaDL and report on initial experiences. Our findings show that the language is effective for real-life Datalog analysis and can simplify working with Datalog source code.

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Key concepts: Datalog, Programming language, Computer science, Code (set theory), Extension (predicate logic), Program analysis, Deductive database, Set (abstract data type)