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Software Engineering for Self-Adaptive Systems II

Overview of attention for book
Cover of 'Software Engineering for Self-Adaptive Systems II'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Software Engineering for Self-Adaptive Systems: A Second Research Roadmap
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    Chapter 2 A Design Space for Self-Adaptive Systems
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    Chapter 3 Software Engineering Processes for Self-Adaptive Systems
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    Chapter 4 On Patterns for Decentralized Control in Self-Adaptive Systems
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    Chapter 5 Towards Practical Runtime Verification and Validation of Self-Adaptive Software Systems
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    Chapter 6 Awareness Requirements
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    Chapter 7 Self-management of Distributed Systems Using High-Level Goal Policies
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    Chapter 8 Dealing with Non-Functional Requirements for Adaptive Systems via Dynamic Software Product-Lines
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    Chapter 9 Uncertainty in Self-Adaptive Software Systems
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    Chapter 10 A Software Lifecycle Process to Support Consistent Evolutions
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    Chapter 11 DYNAMICO: A Reference Model for Governing Control Objectives and Context Relevance in Self-Adaptive Software Systems
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    Chapter 12 Fault-Adaptivity in Hard Real-Time Component-Based Software Systems
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    Chapter 13 Towards User Tailoring of Self-Adaptation in Ubiquitous Computing
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    Chapter 14 Hierarchical Self-Optimization of SaaS Applications in Clouds
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    Chapter 15 Self-Adaptivity from Different Application Perspectives
Attention for Chapter 3: Software Engineering Processes for Self-Adaptive Systems
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Mentioned by

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1 tweeter

Citations

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86 Dimensions

Readers on

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106 Mendeley
Summary Twitter Dimensions citations
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Chapter title
Software Engineering Processes for Self-Adaptive Systems
Chapter number 3
Book title
Software Engineering for Self-Adaptive Systems II
Published in
Lecture notes in computer science, January 2013
DOI 10.1007/978-3-642-35813-5_3
Book ISBNs
978-3-64-235812-8, 978-3-64-235813-5
Authors

Jesper Andersson, Luciano Baresi, Nelly Bencomo, Rogério de Lemos, Alessandra Gorla, Paola Inverardi, Thomas Vogel

Editors

Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw

View on publisher site

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 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 5%
Spain 3 3%
France 2 2%
Turkey 1 <1%
Portugal 1 <1%
Netherlands 1 <1%
Unknown 93 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 35%
Student > Master 26 25%
Researcher 14 13%
Student > Bachelor 5 5%
Lecturer > Senior Lecturer 3 3%
Other 17 16%
Unknown 4 4%
Readers by discipline Count As %
Computer Science 85 80%
Engineering 11 10%
Unspecified 1 <1%
Social Sciences 1 <1%
Economics, Econometrics and Finance 1 <1%
Other 0 0%
Unknown 7 7%

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 01 November 2020.
All research outputs
#18,540,642
of 22,962,258 outputs
Outputs from Lecture notes in computer science
#6,023
of 8,137 outputs
Outputs of similar age
#219,344
of 281,976 outputs
Outputs of similar age from Lecture notes in computer science
#248
of 315 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,137 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 13th percentile – i.e., 13% 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 281,976 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 315 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.

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