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Model Checking Software

Overview of attention for book
Cover of 'Model Checking Software'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Software Model Checking for Mobile Security – Collusion Detection in $$\mathbb {K}$$ K
  3. Altmetric Badge
    Chapter 2 Efficient Runtime Verification of First-Order Temporal Properties
  4. Altmetric Badge
    Chapter 3 Program Verification with Separation Logic
  5. Altmetric Badge
    Chapter 4 Petri Net Reductions for Counting Markings
  6. Altmetric Badge
    Chapter 5 Improving Generalization in Software IC3
  7. Altmetric Badge
    Chapter 6 Star-Topology Decoupling in SPIN
  8. Altmetric Badge
    Chapter 7 Joint Forces for Memory Safety Checking
  9. Altmetric Badge
    Chapter 8 Model-Checking HyperLTL for Pushdown Systems
  10. Altmetric Badge
    Chapter 9 A Branching Time Variant of CaRet
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    Chapter 10 Control Strategies for Off-Line Testing of Timed Systems
  12. Altmetric Badge
    Chapter 11 An Extension of TRIANGLE Testbed with Model-Based Testing
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    Chapter 12 Local Data Race Freedom with Non-multi-copy Atomicity
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    Chapter 13 A Comparative Study of Decision Diagrams for Real-Time Model Checking
  15. Altmetric Badge
    Chapter 14 Lazy Reachability Checking for Timed Automata with Discrete Variables
  16. Altmetric Badge
    Chapter 15 From SysML to Model Checkers via Model Transformation
  17. Altmetric Badge
    Chapter 16 Genetic Synthesis of Concurrent Code Using Model Checking and Statistical Model Checking
  18. Altmetric Badge
    Chapter 17 Quantitative Model Checking for a Controller Design
  19. Altmetric Badge
    Chapter 18 Modelling Without a Modelling Language
  20. Altmetric Badge
    Chapter 19 Context-Updates Analysis and Refinement in Chisel
Attention for Chapter 4: Petri Net Reductions for Counting Markings
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

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3 X users

Citations

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1 Dimensions

Readers on

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5 Mendeley
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Chapter title
Petri Net Reductions for Counting Markings
Chapter number 4
Book title
Model Checking Software
Published in
arXiv, June 2018
DOI 10.1007/978-3-319-94111-0_4
Book ISBNs
978-3-31-994110-3, 978-3-31-994111-0
Authors

Bernard Berthomieu, Didier Le Botlan, Silvano Dal Zilio

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 20%
Professor > Associate Professor 1 20%
Researcher 1 20%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Computer Science 3 60%
Engineering 1 20%
Unknown 1 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 July 2018.
All research outputs
#15,617,600
of 24,002,307 outputs
Outputs from arXiv
#346,817
of 1,011,770 outputs
Outputs of similar age
#199,620
of 331,648 outputs
Outputs of similar age from arXiv
#11,520
of 24,518 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,011,770 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 65% 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 331,648 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 24,518 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.