↓ Skip to main content

Quantitative Evaluation of Systems

Overview of attention for book
Cover of 'Quantitative Evaluation of Systems'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Computer-Aided Security Proofs
  3. Altmetric Badge
    Chapter 2 On the Interplay between Content Popularity and Performance in P2P Systems
  4. Altmetric Badge
    Chapter 3 Refinement and Difference for Probabilistic Automata
  5. Altmetric Badge
    Chapter 4 High-Level Counterexamples for Probabilistic Automata
  6. Altmetric Badge
    Chapter 5 Modelling, Reduction and Analysis of Markov Automata
  7. Altmetric Badge
    Chapter 6 Deciding Bisimilarities on Distributions
  8. Altmetric Badge
    Chapter 7 Learning and Designing Stochastic Processes from Logical Constraints
  9. Altmetric Badge
    Chapter 8 Characterizing Oscillatory and Noisy Periodic Behavior in Markov Population Models
  10. Altmetric Badge
    Chapter 9 Model Checking Markov Population Models by Central Limit Approximation
  11. Altmetric Badge
    Chapter 10 Fluid Limit for the Machine Repairman Model with Phase-Type Distributions
  12. Altmetric Badge
    Chapter 11 Tulip: Model Checking Probabilistic Systems Using Expectation Maximisation Algorithm
  13. Altmetric Badge
    Chapter 12 PLASMA-lab: A Flexible, Distributable Statistical Model Checking Library
  14. Altmetric Badge
    Chapter 13 STRONG: A Trajectory-Based Verification Toolbox for Hybrid Systems
  15. Altmetric Badge
    Chapter 14 PEPERCORN: Inferring Performance Models from Location Tracking Data
  16. Altmetric Badge
    Chapter 15 ADTool: Security Analysis with Attack–Defense Trees
  17. Altmetric Badge
    Chapter 16 SAT-Based Analysis and Quantification of Information Flow in Programs
  18. Altmetric Badge
    Chapter 17 Prinsys—On a Quest for Probabilistic Loop Invariants
  19. Altmetric Badge
    Chapter 18 Revisiting Weak Simulation for Substochastic Markov Chains
  20. Altmetric Badge
    Chapter 19 A Performance Analysis of System S, S4, and Esper via Two Level Benchmarking
  21. Altmetric Badge
    Chapter 20 Effect of Codeword Placement on the Reliability of Erasure Coded Data Storage Systems
  22. Altmetric Badge
    Chapter 21 Fault-Impact Models Based on Delay and Packet Loss for IEEE 802.11g
  23. Altmetric Badge
    Chapter 22 VeriSiMPL: Verification via biSimulations of MPL Models
  24. Altmetric Badge
    Chapter 23 The BisimDist Library: Efficient Computation of Bisimilarity Distances for Markovian Models
  25. Altmetric Badge
    Chapter 24 Möbius Shell: A Command-Line Interface for Möbius
  26. Altmetric Badge
    Chapter 25 A CTL Model Checker for Stochastic Automata Networks
  27. Altmetric Badge
    Chapter 26 The Steady-State Control Problem for Markov Decision Processes
  28. Altmetric Badge
    Chapter 27 Symbolic Control of Stochastic Switched Systems via Finite Abstractions
  29. Altmetric Badge
    Chapter 28 Synthesis for Multi-objective Stochastic Games: An Application to Autonomous Urban Driving
  30. Altmetric Badge
    Chapter 29 Stochastic Parity Games on Lossy Channel Systems
  31. Altmetric Badge
    Chapter 30 Transient Analysis of Networks of Stochastic Timed Automata Using Stochastic State Classes
  32. Altmetric Badge
    Chapter 31 Automated Rare Event Simulation for Stochastic Petri Nets
  33. Altmetric Badge
    Chapter 32 Quantitative Evaluation of Systems
Attention for Chapter 15: ADTool: Security Analysis with Attack–Defense Trees
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

3 tweeters


2 Dimensions

Readers on

44 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
ADTool: Security Analysis with Attack–Defense Trees
Chapter number 15
Book title
Quantitative Evaluation of Systems
Published in
Lecture notes in computer science, August 2013
DOI 10.1007/978-3-642-40196-1_15
Book ISBNs
978-3-64-240195-4, 978-3-64-240196-1

Barbara Kordy, Piotr Kordy, Sjouke Mauw, Patrick Schweitzer

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 32%
Researcher 6 14%
Student > Ph. D. Student 5 11%
Student > Doctoral Student 4 9%
Student > Postgraduate 4 9%
Other 5 11%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 26 59%
Engineering 5 11%
Mathematics 2 5%
Business, Management and Accounting 1 2%
Decision Sciences 1 2%
Other 1 2%
Unknown 8 18%

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 12 February 2015.
All research outputs
of 4,793,454 outputs
Outputs from Lecture notes in computer science
of 1,629 outputs
Outputs of similar age
of 172,496 outputs
Outputs of similar age from Lecture notes in computer science
of 76 outputs
Altmetric has tracked 4,793,454 research outputs across all sources so far. This one has received more attention than most of these and is in the 60th percentile.
So far Altmetric has tracked 1,629 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 63% 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 172,496 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 64% of its contemporaries.
We're also able to compare this research output to 76 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.