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Model Checking Software : 28th International Symposium, SPIN 2022, Virtual Event, May 21, 2022, Proceedings / / edited by Owolabi Legunsen, Grigore Rosu



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Titolo: Model Checking Software : 28th International Symposium, SPIN 2022, Virtual Event, May 21, 2022, Proceedings / / edited by Owolabi Legunsen, Grigore Rosu Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (161 pages)
Disciplina: 003.3
Soggetto topico: Software engineering
Artificial intelligence
Computer engineering
Computer networks
Software Engineering
Artificial Intelligence
Computer Engineering and Networks
Persona (resp. second.): RoşuGrigore
LegunsenOwolabi
Nota di contenuto: Automated Consistency Analysis for Legal Contracts -- Monitoring Cyber-Physical Systems using a Tiny Twin to Prevent Cyber-Attacks -- Synthesis of Rigorous Floating-Point Predicates -- Statistical Model Checking for Probabilistic Hyperproperties of Real-Valued Signals -- SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks -- Verifying the SHA-3 Implementation from OpenSSL with the Software Analysis Workbench -- Bounded-Memory Runtime Enforcement -- Solving String Theories involving Regular Membership Predicates using SAT.
Sommario/riassunto: This book constitutes the refereed proceedings of the 28th International Symposium on Model Checking Software, SPIN 2022, held virtually in May 2022. The 8 full papers were carefully reviewed and selected from 11 submissions. Topics covered include formal verification techniques for automated analysis of software; formal analysis for modeling languages, such as UML/state charts; formal specification languages, temporal logic, design-by-contract; model checking, automated theorem proving, including SAT and SMT; verifying compilers; abstraction and symbolic execution techniques; and much more.
Titolo autorizzato: Model Checking Software  Visualizza cluster
ISBN: 9783031150777
3031150775
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910588593203321
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Serie: Lecture Notes in Computer Science, . 1611-3349 ; ; 13255