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A Framework for the Verification of Parameterized Infinite-state Systems

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EN
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EN
We present our framework for the verification of parameterized infinite-state systems. The framework has been successfully applied in the verification of heterogeneous systems, ranging from distributed fault-tolerant protocols to programs handling unbounded data-structures. In such application domains, being able to infer quantified invariants is a mandatory requirement for successful results. Our framework differentiates itself from the state-of-the-art solutions targeting the generation of quantified safe inductive invariants: instead of monolitically exploiting a single static analysis technique, it is based on the effective integration of several analysis strategies. The paper targets the description of the engineering strategies adopted for a successful implementation of such an integrated framework, and presents the extensive experimental evaluation demonstrating its effectiveness.
Wydawca
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1--24
Opis fizyczny
Bibliogr. 43 poz., rys., tab., wykr.
Twórcy
autor
  • Network Support System, Eolo SpA, via Gran San Bernardo, 12, 21052 Busto Arsizio, Italy
autor
  • Department of Mathematics, Università degli Studi di Milano, via Saldini, 50, 20133 Milano, Italy
autor
  • Faculty of Informatics, Università della Svizzera Italiana, via G. Buffi, 13, CH-6900 Lugano, Switzerland
Bibliografia
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  • [29] De Angelis E, Fioravanti F, Pettorossi A, Proietti M. Program verification via iterated specialization. Sci. Comput. Program., 2014; 95: 149-175. doi: 10.1016/j.scico.2014.05.017.
  • [30] Cousot P, Halbwachs N. Automatic Discovery of Linear Restraints Among Variables of a Program, In: Aho AV, Zilles SN, Szymanski TG (eds.), Conference Record of the Fifth Annual ACM Symposium on Principles of Programming Languages, Tucson, Arizona, USA, January 1978. ACM Press, 1978 pp. 84-96. doi: 10.1145/512760.512770.
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Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9a524051-a2ce-4ca0-9f26-edb4c7632694
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