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E-raamat: Formal Methods and Software Engineering: 26th International Conference on Formal Engineering Methods, ICFEM 2025, Hangzhou, China, November 10-13, 2025, Proceedings

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This volume LNCS 16229 constitutes the refereed proceedings of 26th International Conference on Formal Methods and Software Engineering, ICFEM 2025, in Hangzhou, China, during November 10–13, 2025.

The 20 full papers presented were carefully reviewed and selected from 47 submissions. The conference focuses on wide range of research areas, covering both theoretical foundations and practical applications of formal engineering methods.

.- Formal Verification of Physical Layer Security Protocols
for Next-Generation Communication Networks.


.- Automata-Based Steering of Large Language Models for Diverse Structured
Generation.


.- LLM-SYM: Integrating Symbolic Methods and Large Language Models for
Automated Theorem Proving.


.- Modeling and Analysis of Cyber-Physical Systems in the Hybrid pi-Calculus
Using Extended Sequence Diagrams.


.- Neural-Symbolic System Control Adjustment Based on Runtime Verification.


.- Formalizing Requirements into Dafny Specifications with LLMs.


.- Detecting Vector Container Errors in C++ Programs via
Abstract Interpretation.


.- BCCIC3:Batch Clause Construction Enhanced Generalization in IC3.


.- MetaLogic: Robustness Evaluation of Text-to-Image Models Using Logically
Equivalent Prompts.


.- Formal Construction of Threat Detections from Attack Trees.


.- A Test-Driven Approach for Refining Use Case Specifications of Software
Requirements with LLMs.


.- ZK-ProVer: Proving Programming Verification in
Non-Interactive Zero-Knowledge Proofs.


.- Synthesizing Loops from Linear Ranking Functions.


.- Modeling and Verifying Concurrent Reactive Systems Using
Separation Logic.


.- Formal Modeling and Verification of Blockchain Consensus Protocols: A Case
Study on ChainMaker.


.- A Unified Method to Efficiently Verify Opacity of
Discrete-Timed Automata.


.- Quantitative Verification for Temporal Properties of Massive
Linear Systems.


.- Avoiding Larger Conflict Regions in CDCL-Style Methods for
Solving SMT-NRA.


.- Formal Modeling of Reinforcement Learning Systems with SMT.


.- Formal modelling of fault tolerant robotic missions.


.- Towards High-Level SMT Program Modeling: Bounded Integers, Simplified
Structs, and Metaprogramming.