Verification, Model Checking, and Abstract Interpretation

24th International Conference, VMCAI 2023, Boston, MA, USA, January 16–17, 2023, Proceedings

AvCezara Dragoi,Michael Emmi

Häftad, Engelska, 2023

Del 13881 i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2023-01-17
Mått:155 x 235 x 22 mm
Vikt:610 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:389
Upplaga:2023
Förlag:Springer International Publishing AG
ISBN:9783031249495

Utforska kategorier

Programvaruutveckling inom Data och IT

Innehållsförteckning

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 InterproceduralData-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.