
Model Checking Software
29th International Symposium, SPIN 2023, Paris, France, April 26-27, 2023, Proceedings
Springer (Publisher)
Published on 2. May 2023
Book
Paperback/Softback
X, 199 pages
978-3-031-32156-6 (ISBN)
Description
This book constitutes the refereed proceedings of the 29th International Symposium on Model Checking Software, SPIN 2023, held in Paris, France, during April 26-27, 2023.
The 9 full papers and 2 short papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: binary decision diagrams, concurrency, testing, synthesis, explicit-state model checking.
The 9 full papers and 2 short papers included in this book were carefully reviewed and selected from 21 submissions. They were organized in topical sections as follows: binary decision diagrams, concurrency, testing, synthesis, explicit-state model checking.
More details
Series
Edition
1st ed. 2023
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
26 s/w Abbildungen, 24 farbige Abbildungen
X, 199 p. 50 illus., 24 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
330 gr
ISBN-13
978-3-031-32156-6 (9783031321566)
DOI
10.1007/978-3-031-32157-3
Schweitzer Classification
Other editions
Additional editions

Georgiana Caltais | Christian Schilling
Model Checking Software
29th International Symposium, SPIN 2023, Paris, France, April 26-27, 2023, Proceedings
E-Book
05/2023
Springer
€58.84
Available for download
Content
Binary Decision Diagrams
.- Efficient Implementation of LIMDDs for Quantum Circuit\ Simulation.- ParaGnosis: A Tool for Parallel Knowledge Compilation.-
Concurrency
.- Model Checking Futexes.- Sound Concurrent Traces for Online Monitoring.-
Testing
.- Efficient Trace Generation for Rare-Event Analysis in Chemical Reaction Networks.- Accelerating black box testing with light-weight learning.-
Synthesis
.- WikiCoder: Learning to Write Knowledge-Powered Code.- Provable Correct and Adaptive Simplex Architecture for Bounded-Liveness Properties.-
Explicit-state Model Checking
.- Elimination of Detached Regions in Dependency Graph Verification.- Potency-Based Heuristic Search with Randomness for Explicit Model Checking.- GPUexplore 3.0: GPU Accelerated State Space Exploration for Concurrent Systems with Data.