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Algebraic Methodology and Software Technology

Overview of attention for book
Cover of 'Algebraic Methodology and Software Technology'

Table of Contents

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    Book Overview
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    Chapter 1 Incremental Software Construction with Refinement Diagrams
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    Chapter 2 Recursive Program Schemes: Past, Present, and Future
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    Chapter 3 Monad-Based Logics for Computational Effects
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    Chapter 4 State Space Representation for Verification of Open Systems
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    Chapter 5 Algebraic Methodology and Software Technology
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    Chapter 6 Measuring the Speed of Information Leakage in Mobile Processes
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    Chapter 7 Formal Islands
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    Chapter 8 Some Programming Languages for Logspace and Ptime
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    Chapter 9 Opaque Predicates Detection by Abstract Interpretation
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    Chapter 10 DO- Casl: An Observer-Based Casl Extension for Dynamic Specifications
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    Chapter 11 Model Transformations Incorporating Multiple Views
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    Chapter 12 Hyperfinite Approximations to Labeled Markov Transition Systems
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    Chapter 13 State Space Reduction of Rewrite Theories Using Invisible Transitions
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    Chapter 14 Algebraic Methodology and Software Technology
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    Chapter 15 The Substitution Vanishes
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    Chapter 16 Decomposing Interactions
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    Chapter 17 Verification of Communication Protocols Using Abstract Interpretation of FIFO Queues
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    Chapter 18 Assessing the Expressivity of Formal Specification Languages
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    Chapter 19 Fork Algebras as a Sufficiently Rich Universal Institution
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    Chapter 20 Realizability Criteria for Compositional MSC
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    Chapter 21 Quantales and Temporal Logics
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    Chapter 22 Fractional Semantics
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    Chapter 23 Reasoning About Data-Parallel Pointer Programs in a Modal Extension of Separation Logic
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    Chapter 24 Testing Semantics: Connecting Processes and Process Logics
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    Chapter 25 Tableaux for Lattices
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    Chapter 26 Accelerated Modal Abstractions of Labelled Transition Systems
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    Chapter 27 A Compositional Semantics of Plan Revision in Intelligent Agents
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    Chapter 28 ITP/OCL: A Rewriting-Based Validation Tool for UML+OCL Static Class Diagrams
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    Chapter 29 A Computational Group Theoretic Symmetry Reduction Package for the Spin Model Checker
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    Chapter 30 Using Category Theory as a Basis for a Heterogeneous Data Source Search Meta-engine: The Prométhée Framework
Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

q&a
1 Q&A thread

Readers on

mendeley
15 Mendeley
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Title
Algebraic Methodology and Software Technology
Published by
Lecture notes in computer science, January 2006
DOI 10.1007/11784180
ISBNs
978-3-54-035633-2, 978-3-54-035636-3
Authors

Michael Johnson, Varmo Vene

Editors

Johnson, Michael, Vene, Varmo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 13%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Student > Bachelor 2 13%
Other 2 13%
Student > Master 2 13%
Student > Postgraduate 2 13%
Other 2 13%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 12 80%
Medicine and Dentistry 1 7%
Unknown 2 13%
Attention Score in Context

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 24 February 2011.
All research outputs
#12,962,178
of 22,880,691 outputs
Outputs from Lecture notes in computer science
#3,779
of 8,130 outputs
Outputs of similar age
#128,218
of 154,650 outputs
Outputs of similar age from Lecture notes in computer science
#84
of 146 outputs
Altmetric has tracked 22,880,691 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,130 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 154,650 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 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.