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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 Automated Analysis of Asynchronously Communicating Systems
  3. Altmetric Badge
    Chapter 2 Symbolic Game Semantics for Model Checking Program Families
  4. Altmetric Badge
    Chapter 3 Compositional Semantics and Analysis of Hierarchical Block Diagrams
  5. Altmetric Badge
    Chapter 4 Using SPIN for the Optimized Scheduling of Discrete Event Systems in Manufacturing
  6. Altmetric Badge
    Chapter 5 River Basin Management with Spin
  7. Altmetric Badge
    Chapter 6 ESBMC \(^{QtOM}\) : A Bounded Model Checking Tool to Verify Qt Applications
  8. Altmetric Badge
    Chapter 7 Autonomous Agent Behaviour Modelled in PRISM – A Case Study
  9. Altmetric Badge
    Chapter 8 Certification for \(\mu \) -Calculus with Winning Strategies
  10. Altmetric Badge
    Chapter 9 Real-Time Strategy Synthesis for Timed-Arc Petri Net Games via Discretization
  11. Altmetric Badge
    Chapter 10 Finite-Horizon Bisimulation Minimisation for Probabilistic Systems
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    Chapter 11 Schedulability Analysis of Distributed Real-Time Sensor Network Applications Using Actor-Based Model Checking
  13. Altmetric Badge
    Chapter 12 smid: A Black-Box Program Driver
  14. Altmetric Badge
    Chapter 13 On-the-Fly Model Checking for Extended Action-Based Probabilistic Operators
  15. Altmetric Badge
    Chapter 14 SymDIVINE: Tool for Control-Explicit Data-Symbolic State Space Exploration
  16. Altmetric Badge
    Chapter 15 A Tool Integrating Model Checking into a C Verification Toolset
  17. Altmetric Badge
    Chapter 16 Fair Testing and Stubborn Sets
Attention for Chapter 7: Autonomous Agent Behaviour Modelled in PRISM – A Case Study
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Chapter title
Autonomous Agent Behaviour Modelled in PRISM – A Case Study
Chapter number 7
Book title
Model Checking Software
Published in
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-32582-8_7
Book ISBNs
978-3-31-932581-1, 978-3-31-932582-8
Authors

Hoffmann, Ruth, Ireland, Murray, Miller, Alice, Norman, Gethin, Veres, Sandor, Ruth Hoffmann, Murray Ireland, Alice Miller, Gethin Norman, Sandor Veres

Editors

Dragan Bošnački, Anton Wijs

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 36%
Researcher 5 36%
Student > Doctoral Student 1 7%
Student > Master 1 7%
Other 1 7%
Other 0 0%
Unknown 1 7%
Readers by discipline Count As %
Computer Science 8 57%
Engineering 4 29%
Medicine and Dentistry 1 7%
Social Sciences 1 7%
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 12 November 2016.
All research outputs
#15,366,818
of 22,860,626 outputs
Outputs from Lecture notes in computer science
#4,647
of 8,127 outputs
Outputs of similar age
#180,792
of 300,819 outputs
Outputs of similar age from Lecture notes in computer science
#59
of 122 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,127 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 300,819 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.