Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11785)
Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)
Included in the following conference series:
Conference proceedings info: QEST 2019.
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About this book
This book constitutes the proceedings of the 16th International Conference on Quantitative Evaluation Systems, QEST 2019, held in Glasgow, UK, in September 2019.
The 17 full papers presented together with 2 short papers were carefully reviewed and selected from 40 submissions. The papers cover topics in the field of Probabilistic Verification; Learning and Verification; Hybrid Systems; Security; Probabilistic Modelling and Abstraction; and Applications and Tools.
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Keywords
- quantitative evaluation
- formal verification
- quantitative verification
- performance analysis
- reliability
- modelling formalisms
- probabilistic models
- computer security
- artificial intelligence
- cyber physical systems (cpss)
- embedded systems
- formal methods
- learning algorithms
- markov processes
- model checking
- probability
- software engineering
- software evaluation
- verification
- algorithm analysis and problem complexity
Table of contents (21 papers)
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Front Matter
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Invited Talks
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Front Matter
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Other volumes
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Quantitative Evaluation of Systems
Editors and Affiliations
Bibliographic Information
Book Title: Quantitative Evaluation of Systems
Book Subtitle: 16th International Conference, QEST 2019, Glasgow, UK, September 10–12, 2019, Proceedings
Editors: David Parker, Verena Wolf
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-30281-8
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-030-30280-1Published: 02 September 2019
eBook ISBN: 978-3-030-30281-8Published: 04 September 2019
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 361
Number of Illustrations: 540 b/w illustrations, 55 illustrations in colour
Topics: Logics and Meanings of Programs, Software Engineering, Artificial Intelligence, Probability and Statistics in Computer Science, Mathematical Logic and Formal Languages, Algorithm Analysis and Problem Complexity