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Verified Software. Theories, Tools, and Experiments

Overview of attention for book
Cover of 'Verified Software. Theories, Tools, and Experiments'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Tree-Based Approach to Data Flow Proofs
  3. Altmetric Badge
    Chapter 2 Executable Counterexamples in Software Model Checking
  4. Altmetric Badge
    Chapter 3 Extending VIAP to Handle Array Programs
  5. Altmetric Badge
    Chapter 4 Lattice-Based Refinement in Bounded Model Checking
  6. Altmetric Badge
    Chapter 5 Verified Certificate Checking for Counting Votes
  7. Altmetric Badge
    Chapter 6 Program Verification in the Presence of I/O
  8. Altmetric Badge
    Chapter 7 TWAM: A Certifying Abstract Machine for Logic Programs
  9. Altmetric Badge
    Chapter 8 A Java Bytecode Formalisation
  10. Altmetric Badge
    Chapter 9 Formalising Executable Specifications of Low-Level Systems
  11. Altmetric Badge
    Chapter 10 A Formalization of the ABNF Notation and a Verified Parser of ABNF Grammars
  12. Altmetric Badge
    Chapter 11 Constructing Independently Verifiable Privacy-Compliant Type Systems for Message Passing Between Black-Box Components
  13. Altmetric Badge
    Chapter 12 SideTrail: Verifying Time-Balancing of Cryptosystems
  14. Altmetric Badge
    Chapter 13 Towards Verification of Ethereum Smart Contracts: A Formalization of Core of Solidity
  15. Altmetric Badge
    Chapter 14 Relational Equivalence Proofs Between Imperative and MapReduce Algorithms
  16. Altmetric Badge
    Chapter 15 Practical Methods for Reasoning About Java 8’s Functional Programming Features
  17. Altmetric Badge
    Chapter 16 Verification of Binarized Neural Networks via Inter-neuron Factoring
  18. Altmetric Badge
    Chapter 17 The Map Equality Domain
  19. Altmetric Badge
    Chapter 18 Loop Detection by Logically Constrained Term Rewriting
  20. Altmetric Badge
    Chapter 19 Store Buffer Reduction in the Presence of Mixed-Size Accesses and Misalignment
Attention for Chapter 11: Constructing Independently Verifiable Privacy-Compliant Type Systems for Message Passing Between Black-Box Components
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Mentioned by

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2 X users

Citations

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3 Dimensions

Readers on

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3 Mendeley
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Chapter title
Constructing Independently Verifiable Privacy-Compliant Type Systems for Message Passing Between Black-Box Components
Chapter number 11
Book title
Verified Software. Theories, Tools, and Experiments
Published in
arXiv, July 2018
DOI 10.1007/978-3-030-03592-1_11
Book ISBNs
978-3-03-003591-4, 978-3-03-003592-1
Authors

Robin Adams, Sibylle Schupp, Adams, Robin, Schupp, Sibylle

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Computer Science 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 31 January 2019.
All research outputs
#18,658,501
of 23,116,036 outputs
Outputs from arXiv
#541,075
of 950,866 outputs
Outputs of similar age
#253,464
of 329,218 outputs
Outputs of similar age from arXiv
#17,654
of 22,962 outputs
Altmetric has tracked 23,116,036 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 950,866 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
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 329,218 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,962 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.