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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/138136067X
Titel Software Engineering and Formal Methods : 23rd International Conference, SEFM 2025, Toledo, Spain, November 10–14, 2025, Proceedings / edited by Domenico Bianculli, Elena Gómez-Martínez
Person(en) Bianculli, Domenico (Herausgeber)
Gómez-Martínez, Elena (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2026
Verlag Cham : Springer Nature Switzerland, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2026
Umfang/Format Online-Ressource, XVIII, 280 p. 56 illus., 33 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-3-032-10443-4
Printed edition:: ISBN: 978-3-032-10445-8
Inhalt Invited Paper -- Securely Optimized (Ethereum) Smart Contracts using Formal Methods -- Security and Resilience -- Attack Resilience Hyperproperties: Formal Security Analysis of (Automotive) Network Architectures under Active Compromise -- Reachability Analysis of Upper-Stack Manipulating Binary Code -- Resilience of Systems under Maximum Component Deviations -- Formal Specification and Verification 1 -- Axiomatisation of Solidity Memory and Storage -- ProbTest: Unit Testing for Probabilistic Programs -- Observable Semantics for Characterising Consistency Between Heterogeneous Models -- Formal Specification and Verification 2 -- Certificates and Witnesses for Multi-objective ω-regular Queries in Markov Decision Processes -- On the Generation of Invalid Objects for Inferring More Precise Class Invariants -- A Rodin Plugin for Genera ng Proof Obliga ons for Invariant Preserva on for ASTDs -- Software Quality -- Detecting Memory Errors in Rust Programs Including Unsafe Foreign Code -- Are Users More Willing to Use Formally Verified Password Managers?- Can Large Language Models Help Students Prove Software Correctness? An Experimental Study with Dafny -- Artificial Intelligence and Formal Methods -- On the Comparison of Learned Classifiers -- Exploring Unknown Environments with UPPAAL STRATEGO: Safe Reinforcement Learning for Navigation and Pump Localization -- Specification-Guided Repair of Arithmetic Errors in Dafny Programs using LLMs
Persistent Identifier URN: urn:nbn:de:101:1-2511120308281.332595516188
DOI: 10.1007/978-3-032-10444-1
URL https://doi.org/10.1007/978-3-032-10444-1
ISBN/Einband/Preis 978-3-032-10444-1
Sprache(n) Englisch (eng)
Beziehungen Lecture Notes in Computer Science ; 16192
DDC-Notation 005.1 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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