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Verification, Model Checking, and Abstract Interpretation 24th International Conference, VMCAI 2023, Boston, MA, USA, January 16-17, 2023, Proceedings
Title
Verification, Model Checking, and Abstract Interpretation [electronic resource] : 24th International Conference, VMCAI 2023, Boston, MA, USA, January 16-17, 2023, Proceedings / edited by Cezara Dragoi, Michael Emmi, Jingbo Wang.
ISBN
9783031249501
Edition
1st ed. 2023.
Publication
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Physical Description
1 online resource (X, 389 p.) 508 illus., 80 illus. in color.
Local Notes
Access is available to the Yale community.
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Access restricted by licensing agreement.
Summary
This book constitutes the proceedings of the 24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023, which took place in Boston, USA, in January 2023. The 17 full papers presented in this book were carefully reviewed and selected from 34 submissions. The contributions deal with program verification, model checking, abstract interpretation, program synthesis, static analysis, type systems, deductive methods, decision procedures, theorem proving, program certification, debugging techniques, program transformation, optimization, and hybrid and cyber-physical systems.
Variant and related titles
Springer ENIN.
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Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
February 22, 2023
Series
Lecture Notes in Computer Science, 13881
Contents
Distributing and Parallelizing Non-canonical Loops
SMT-Based Modeling and Verification of Spiking Neural Networks: A Case Study
StaticPersist : Compiler Support for PMEM Programming
Symbolic Abstract Heaps for Polymorphic Information-flow Guard Inference
Satisfiability Modulo Custom Theories in Z3
Bayesian parameter estimation with guarantees via interval analysis and simulation
A Pragmatic Approach to Stateful Partial Order Reduction
Compositional Verification of Stigmergic Collective Systems
Efficient Interprocedural Data-Flow Analysis using Treedepth and Treewidth
Maximal Robust Neural Network Specifications via Oracle-guided Numerical Optimization
A generic framework to coarse-grain stochastic reaction networks by Abstract Interpretation
CosySEL: Improving SAT Solving Using Local Symmetries
Sound Symbolic Execution via Abstract Interpretation and its Application to Security
Result Invalidation for Incremental Modular Analyses
Synthesizing History and Prophecy Variables for Symbolic Model Checking
Solving Constrained Horn Clauses over Algebraic Data Types
ARENA: Enhancing Abstract Refinement for Neural Network Verification.
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