Artículo
Dynamite: A tool for the verification of alloy models based on PVS
Fecha de publicación:
03/2014
Editorial:
Association for Computing Machinery
Revista:
ACM Transactions on Software Engineering and Methodology
ISSN:
1049-331X
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Automatic analysis of Alloy models is supported by the Alloy Analyzer, a tool that translates an Alloy model to a propositional formula that is then analyzed using off-the-shelf SAT-solvers. The translation requires user-provided bounds on the sizes of data domains. The analysis is limited by the bounds, and is therefore partial. Thus, the Alloy Analyzer may not be appropriate for the analysis of critical applications where more conclusive results are necessary. Dynamite is an extension of PVS that embeds a complete calculus for Alloy. It also includes extensions to PVS that allow one to improve the proof effort by, for instance, automatically analyzing new hypotheses with the aid of the Alloy Analyzer. Since PVS sequents may get cluttered with unnecessary formulas, we use the Alloy unsat-core extraction feature in order to refine proof sequents. An internalization of Alloy’s syntax as an Alloy specification allows us to use the Alloy Analyzer for producing witnesses for proving existentially quantified formulas. Dynamite complements the partial automatic analysis offered by the Alloy Analyzer with semiautomatic verification through theorem proving. It also improves the theorem proving experience by using the Alloy Analyzer for early error detection, sequent refinement and witness generation.
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Identificadores
Colecciones
Articulos(OCA CIUDAD UNIVERSITARIA)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Citación
Frias, Marcelo Fabian; Lopez Pombo, Carlos Gustavo; Moscato, Mariano Miguel; Dynamite: A tool for the verification of alloy models based on PVS; Association for Computing Machinery; ACM Transactions on Software Engineering and Methodology; 23; 2; 3-2014; 1-47; 20
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