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Computer Aided Verification
- Publication Year :
- 2022
- Publisher :
- Cham: Springer Nature; Springer, 2022.
-
Abstract
- This open access two-volume set LNCS 13371 and 13372 constitutes the refereed proceedings of the 34rd International Conference on Computer Aided Verification, CAV 2022, which was held in Haifa, Israel, in August 2022. The 40 full papers presented together with 9 tool papers and 2 case studies were carefully reviewed and selected from 209 submissions. The papers were organized in the following topical sections: Part I: Invited papers; formal methods for probabilistic programs; formal methods for neural networks; software Verification and model checking; hyperproperties and security; formal methods for hardware, cyber-physical, and hybrid systems. Part II: Probabilistic techniques; automata and logic; deductive verification and decision procedures; machine learning; synthesis and concurrency. This is an open access book.
- Subjects :
- architecting
architecture verification and validation
artificial intelligence
computer programming
computer science
computer systems
distributed computer systems
distributed systems
embedded systems
formal logic
mathematics
model checking
programming languages
software architecture
software design
software engineering
software quality
theoretical computer science
verification
verification and validation
bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMZ Software Engineering
bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence
bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures
bic Book Industry Communication::U Computing & information technology::UT Computer networking & communications
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-031-13185-1
3-031-13185-1 - ISBNs :
- 9783031131851 and 3031131851
- Database :
- OAPEN Library
- Notes :
- ONIX_20220817_9783031131851_24, , https://link.springer.com/978-3-031-13185-1
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.57930
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-031-13185-1