Abstract
This paper describes two techniques for Datalog query evaluation and their application to object-oriented program analysis. The first technique transforms Datalog programs into an implicit Boolean Equation System (Bes) that can then be solved by using linear-time complexity algorithms that are available in existing, general purpose verification toolboxes such as Cadp. In order to improve scalability and to enable analyses involving advanced meta-programming features, we develop a second methodology that transforms Datalog programs into rewriting logic (Rwl) theories. This method takes advantage of the preeminent features and facilities that are available within the high-performance system Maude, which provides a very efficient implementation of Rwl. We provide evidence of the practicality of both approaches by reporting on some experiments with a number of real-world Datalog-based analyses.
This work has been partially supported by the eu (feder), the Spanish mec/micinn under grants tin 2007-68093-C02 and tin 2010-21062-C02-02, and the Generalitat Valenciana under grant Emergentes gv/2009/024. M. A. Feliú was partially supported by the Spanish mec fpu grant AP2008-00608.
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Alpuente, M., Feliú, M.A., Joubert, C., Villanueva, A. (2011). Datalog-Based Program Analysis with BES and RWL. In: de Moor, O., Gottlob, G., Furche, T., Sellers, A. (eds) Datalog Reloaded. Datalog 2.0 2010. Lecture Notes in Computer Science, vol 6702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24206-9_1
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