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Experimenting with Predicate Abstraction

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Detalhes bibliográficos
Resumo:Predicate abstraction is a technique employed in software model checking to produce abstract models that can be conservatively checked for property violations in reasonable time. The precision degree of different abstractions of the same program may differ based on (i) the set of predicates used; or (ii) the algorithmic technique employed to generate the model. In this report we explain how we have extended the implementation of one such technique, that produces the most precise ex- istential abstraction of a program, and we establish a common framework for both this direct technique and a second one, based on cartesian ab- straction by weakest precondition calculations. This report a product of the research grant BI22012 PTDC/EIA-CCO/117590/2010 UMINHO, in the scope of the AVIACC project, supervised by Professors Jorge Sousa Pinto and Maria João Frade.
Autores principais:Miraldo, Victor Cacciari
Assunto:Program verification Predicate abstraction
Ano:2014
País:Portugal
Tipo de documento:relatório
Tipo de acesso:acesso aberto
Instituição associada:Universidade do Minho
Idioma:inglês
Origem:RepositóriUM - Universidade do Minho
Descrição
Resumo:Predicate abstraction is a technique employed in software model checking to produce abstract models that can be conservatively checked for property violations in reasonable time. The precision degree of different abstractions of the same program may differ based on (i) the set of predicates used; or (ii) the algorithmic technique employed to generate the model. In this report we explain how we have extended the implementation of one such technique, that produces the most precise ex- istential abstraction of a program, and we establish a common framework for both this direct technique and a second one, based on cartesian ab- straction by weakest precondition calculations. This report a product of the research grant BI22012 PTDC/EIA-CCO/117590/2010 UMINHO, in the scope of the AVIACC project, supervised by Professors Jorge Sousa Pinto and Maria João Frade.