Software Engineering and Formal Methods : 23rd International Conference, SEFM 2025, Toledo, Spain, November 10-14, 2025, Proceedings (Lecture Notes in Computer Science)

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Software Engineering and Formal Methods : 23rd International Conference, SEFM 2025, Toledo, Spain, November 10-14, 2025, Proceedings (Lecture Notes in Computer Science)

Bianculli, Domenico (EDT)/ Gómez-Martínez, Elena (EDT)

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Springer Nature Switzerland AG（2025/12発売）
外貨定価 US$ 79.99
ポイント 152pt

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製本 Paperback:紙装版/ペーパーバック版／ページ数 261 p.
言語 ENG
商品コード 9783032104434

Full Description

This volume constitutes the proceedings of 23rd International Conference on Software Engineering and Formal Methods, SEFM 2025, in Toledo, Spain, during November 10-14, 2025.

The 13 full papers and 2 short papers included in this book were carefully reviewed and selected from 39 submissions. The proceedings also include 1 invited short paper. They were organized in topical sections as follows: security and resilience; formal specification and verification; formal specification and verification; software quality; and artificial intelligence and formal methods.

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.