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Aliasing in Object-Oriented Programming. Types, Analysis and Verification

Overview of attention for book
Cover of 'Aliasing in Object-Oriented Programming. Types, Analysis and Verification'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Beyond the Geneva Convention on the Treatment of Object Aliasing
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    Chapter 2 The Geneva Convention on the Treatment of Object Aliasing
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    Chapter 3 Ownership Types: A Survey
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    Chapter 4 Notions of Aliasing and Ownership
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    Chapter 5 Understanding Ownership Types with Dependent Types
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    Chapter 6 Object Graphs with Ownership Domains: An Empirical Study
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    Chapter 7 Alias Control for Deterministic Parallelism
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    Chapter 8 Alias Analysis for Object-Oriented Programs
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    Chapter 9 Immutability
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    Chapter 10 Fractional Permissions
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    Chapter 11 Object Ownership in Program Verification
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    Chapter 12 State Based Encapsulation for Modular Reasoning about Behavior-Preserving Refactorings
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    Chapter 13 Separation Logic for Object-Oriented Programming
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    Chapter 14 VeriFast for Java: A Tutorial
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    Chapter 15 Confined Roles and Decapsulation in Object Teams — Contradiction or Synergy?
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    Chapter 16 Location Types for Safe Programming with Near and Far References
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    Chapter 17 The Future of Aliasing in Parallel Programming
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    Chapter 18 Aliasing Visions: Ownership and Location
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    Chapter 19 Alias Analysis: Beyond the Code
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    Chapter 20 How, Then, Should We Program?
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    Chapter 21 A Retrospective on Aliasing Type Systems: 2012-2022
  23. Altmetric Badge
    Chapter 22 Structured Aliasing
Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
1 tweeter
patent
3 patents

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
6 Mendeley
citeulike
1 CiteULike
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Title
Aliasing in Object-Oriented Programming. Types, Analysis and Verification
Published by
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-36946-9
ISBNs
978-3-64-236945-2, 978-3-64-236946-9
Authors

Clarke, Dave, Noble, James, Wrigstad, Tobias

Editors

Dave Clarke, James Noble, Tobias Wrigstad

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 50%
Student > Bachelor 2 33%
Student > Doctoral Student 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Arts and Humanities 1 17%
Engineering 1 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 05 March 2019.
All research outputs
#2,829,859
of 11,541,953 outputs
Outputs from Lecture notes in computer science
#1,706
of 7,174 outputs
Outputs of similar age
#78,636
of 259,160 outputs
Outputs of similar age from Lecture notes in computer science
#42
of 124 outputs
Altmetric has tracked 11,541,953 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,174 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 75% 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 259,160 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 69% of its contemporaries.
We're also able to compare this research output to 124 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 66% of its contemporaries.