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Abstract State Machines, Alloy, B, TLA, VDM, and Z

Overview of attention for book
Cover of 'Abstract State Machines, Alloy, B, TLA, VDM, and Z'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 The Rodin Platform Has Turned Ten
  3. Altmetric Badge
    Chapter 2 Development of a Verified Flash File System
  4. Altmetric Badge
    Chapter 3 Why Amazon Chose TLA + 
  5. Altmetric Badge
    Chapter 4 Translating B to TLA +  for Validation with TLC
  6. Altmetric Badge
    Chapter 5 αRby—An Embedding of Alloy in Ruby
  7. Altmetric Badge
    Chapter 6 MAZE: An Extension of Object-Z for Multi-Agent Systems
  8. Altmetric Badge
    Chapter 7 Quasi-Lexicographic Convergence
  9. Altmetric Badge
    Chapter 8 Towards B as a High-Level Constraint Modelling Language
  10. Altmetric Badge
    Chapter 9 Analysis of Self-⋆ and P2P Systems Using Refinement
  11. Altmetric Badge
    Chapter 10 B Formal Validation of ERTMS/ETCS Railway Operating Rules
  12. Altmetric Badge
    Chapter 11 Modelling Energy Consumption in Embedded Systems with VDM-RT
  13. Altmetric Badge
    Chapter 12 Sealed Containers in Z
  14. Altmetric Badge
    Chapter 13 Specifying Transaction Control to Serialize Concurrent Program Executions
  15. Altmetric Badge
    Chapter 14 Distributed Situation Analysis
  16. Altmetric Badge
    Chapter 15 Introducing Aspect–Oriented Specification for Abstract State Machines
  17. Altmetric Badge
    Chapter 16 Modular Refinement for Submachines of ASMs
  18. Altmetric Badge
    Chapter 17 Towards ASM-Based Formal Specification of Self-Adaptive Systems
  19. Altmetric Badge
    Chapter 18 Distributed ASM - Pitfalls and Solutions
  20. Altmetric Badge
    Chapter 19 WebASM: An Abstract State Machine Execution Environment for the Web
  21. Altmetric Badge
    Chapter 20 Formal System Modelling Using Abstract Data Types in Event-B
  22. Altmetric Badge
    Chapter 21 Formal Derivation of Distributed MapReduce
  23. Altmetric Badge
    Chapter 22 Validating the RBAC ANSI 2012 Standard Using B
  24. Altmetric Badge
    Chapter 23 Invariant Guided System Decomposition
  25. Altmetric Badge
    Chapter 24 Understanding and Planning Event-B Refinement through Primitive Rationales
  26. Altmetric Badge
    Chapter 25 Templates for Event-B Code Generation
  27. Altmetric Badge
    Chapter 26 The BWare Project: Building a Proof Platform for the Automated Verification of B Proof Obligations
  28. Altmetric Badge
    Chapter 27 Tuning the Alt-Ergo SMT Solver for B Proof Obligations
  29. Altmetric Badge
    Chapter 28 Fixed-Point Arithmetic Modeled in B Software Using Reals
  30. Altmetric Badge
    Chapter 29 Bounded Model Checking of Temporal Formulas with Alloy
  31. Altmetric Badge
    Chapter 30 Formal Verification of OS Security Model with Alloy and Event-B
  32. Altmetric Badge
    Chapter 31 Detecting Network Policy Conflicts Using Alloy
  33. Altmetric Badge
    Chapter 32 Staged Evaluation of Partial Instances in a Relational Model Finder
  34. Altmetric Badge
    Chapter 33 Domain-Specific Visualization of Alloy Instances
  35. Altmetric Badge
    Chapter 34 Optimizing Alloy for Multi-objective Software Product Line Configuration
Attention for Chapter 3: Why Amazon Chose TLA + 
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

1 news outlet
4 X users
1 Wikipedia page


5 Dimensions

Readers on

25 Mendeley
3 CiteULike
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Chapter title
Why Amazon Chose TLA + 
Chapter number 3
Book title
Abstract State Machines, Alloy, B, TLA, VDM, and Z
Published in
Lecture notes in computer science, June 2014
DOI 10.1007/978-3-662-43652-3_3
Book ISBNs
978-3-66-243651-6, 978-3-66-243652-3

Chris Newcombe


Yamine Ait Ameur, Klaus-Dieter Schewe

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 28%
Researcher 7 28%
Student > Master 3 12%
Student > Bachelor 2 8%
Other 2 8%
Other 1 4%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 19 76%
Engineering 2 8%
Psychology 1 4%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 07 September 2023.
All research outputs
of 25,049,929 outputs
Outputs from Lecture notes in computer science
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Outputs of similar age
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Outputs of similar age from Lecture notes in computer science
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Altmetric has tracked 25,049,929 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 96% 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 232,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.