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Tools and Algorithms for the Construction and Analysis of Systems

Overview of attention for book
Tools and Algorithms for the Construction and Analysis of Systems
Springer Nature Switzerland

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Learner-Verifier Framework for Neural Network Controllers and Certificates of Stochastic Systems
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    Chapter 2 Bounded Model Checking for Asynchronous Hyperproperties
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    Chapter 3 Model Checking Linear Dynamical Systems under Floating-point Rounding
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    Chapter 4 Efficient Loop Conditions for Bounded Model Checking Hyperproperties
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    Chapter 5 Reconciling Preemption Bounding with DPOR
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    Chapter 6 Optimal Stateless Model Checking for Causal Consistency
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    Chapter 7 Symbolic Model Checking for TLA+ Made Faster
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    Chapter 8 AutoHyper: Explicit-State Model Checking for HyperLTL
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    Chapter 9 Feature Necessity & Relevancy in ML Classifier Explanations
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    Chapter 10 Towards Formal XAI: Formally Approximate Minimal Explanations of Neural Networks
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    Chapter 11 OccRob : Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks
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    Chapter 12 Neural Network-Guided Synthesis of Recursive List Functions
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    Chapter 13 Modular Mix-and-Match Complementation of Büchi Automata
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    Chapter 15 Antichains Algorithms for the Inclusion Problem Between $$\omega $$ ω -VPL
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    Chapter 16 Stack-Aware Hyperproperties
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    Chapter 17 Propositional Proof Skeletons
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    Chapter 18 Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers
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    Chapter 19 Carcara : An Efficient Proof Checker and Elaborator for SMT Proofs in the Alethe Format
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    Chapter 20 The Packing Chromatic Number of the Infinite Square Grid is 15
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    Chapter 21 Active Learning for SAT Solver Benchmarking
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    Chapter 22 ParaQooba : A Fast and Flexible Framework for Parallel and Distributed QBF Solving
  23. Altmetric Badge
    Chapter 23 Inferring Needless Write Memory Accesses on Ethereum Bytecode
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    Chapter 24 A Practitioner’s Guide to MDP Model Checking Algorithms
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    Chapter 25 Correct Approximation of Stationary Distributions
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    Chapter 26 Robust Almost-Sure Reachability in Multi-Environment MDPs
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    Chapter 27 Mungojerrie: Linear-Time Objectives in Model-Free Reinforcement Learning
  28. Altmetric Badge
    Chapter 28 A Formal CHERI-C Semantics for Verification
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    Chapter 28 A Formal CHERI-C Semantics for Verification
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    Chapter 29 Automated Verification for Real-Time Systems
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    Chapter 30 Parameterized Verification under TSO with Data Types
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    Chapter 31 Verifying Learning-Based Robotic Navigation Systems
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    Chapter 32 Make Flows Small Again: Revisiting the Flow Framework
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    Chapter 33 ALASCA: Reasoning in Quantified Linear Arithmetic
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    Chapter 34 A Matrix-Based Approach to Parity Games
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    Chapter 35 A GPU Tree Database for Many-Core Explicit State Space Exploration
Attention for Chapter 28: A Formal CHERI-C Semantics for Verification
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Chapter title
A Formal CHERI-C Semantics for Verification
Chapter number 28
Book title
Tools and Algorithms for the Construction and Analysis of Systems
Published in
arXiv, November 2022
Book ISBNs
978-3-03-130822-2, 978-3-03-130823-9
Authors

Seung Hoon Park, Rekha Pai, Tom Melham

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 50%
Other 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2023.
All research outputs
#14,551,100
of 25,392,582 outputs
Outputs from arXiv
#179,005
of 915,717 outputs
Outputs of similar age
#169,517
of 431,344 outputs
Outputs of similar age from arXiv
#5,992
of 33,070 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 915,717 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 80% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 431,344 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 33,070 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.