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Fundamental Approaches to Software Engineering

Overview of attention for book
Cover of 'Fundamental Approaches to Software Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Fundamental Approaches to Software Engineering
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    Chapter 2 Automated Learning of Probabilistic Assumptions for Compositional Reasoning
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    Chapter 3 An Interface Theory for Service-Oriented Design
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    Chapter 4 rt-Inconsistency: A New Property for Real-Time Requirements
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    Chapter 5 Automatic Flow Analysis for Event-B
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    Chapter 6 Semantic Quality Attributes for Big-Step Modelling Languages
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    Chapter 7 Formalizing and Operationalizing Industrial Standards
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    Chapter 8 Modelling Non-linear Crowd Dynamics in Bio-PEPA
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    Chapter 9 Smart Reduction
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    Chapter 10 Uniform Monte-Carlo Model Checking
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    Chapter 11 Model Checking Büchi Pushdown Systems
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    Chapter 12 Modeling with Plausibility Checking: Inspecting Favorable and Critical Signs for Consistency between Control Flow and Functional Behavior
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    Chapter 13 Models within Models: Taming Model Complexity Using the Sub-model Lattice
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    Chapter 14 Type-Safe Evolution of Spreadsheets
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    Chapter 15 A Formal Resolution Strategy for Operation-Based Conflicts in Model Versioning Using Graph Modifications
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    Chapter 16 A Step-Wise Approach for Integrating QoS throughout Software Development
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    Chapter 17 Systematic Development of UMLsec Design Models Based on Security Requirements
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    Chapter 18 Theoretical Aspects of Compositional Symbolic Execution
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    Chapter 19 Testing Container Classes: Random or Systematic?
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    Chapter 20 Seamless Testing for Models and Code
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    Chapter 21 Retrofitting Unit Tests for Parameterized Unit Testing
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    Chapter 22 Evolving a Test Oracle in Black-Box Testing
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    Chapter 23 Automated Driver Generation for Analysis of Web Applications
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    Chapter 24 On Model-Based Regression Testing of Web-Services Using Dependency Analysis of Visual Contracts
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    Chapter 25 Incremental Clone Detection and Elimination for Erlang Programs
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    Chapter 26 Analyzing Software Updates: Should You Build a Dynamic Updating Infrastructure?
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    Chapter 27 Flow-Augmented Call Graph: A New Foundation for Taming API Complexity
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    Chapter 28 Search-Based Design Defects Detection by Example
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    Chapter 29 An Empirical Study on Evolution of API Documentation
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    Chapter 30 An Empirical Study of Long-Lived Code Clones
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    Chapter 31 Where the Truth Lies: AOP and Its Impact on Software Modularity
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 (67th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
11 Mendeley
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Title
Fundamental Approaches to Software Engineering
Published by
ADS, March 2011
DOI 10.1007/978-3-642-19811-3
ISBNs
978-3-64-219810-6, 978-3-64-219811-3
Editors

Giannakopoulou, Dimitra, Orejas, Fernando

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 9%
Student > Bachelor 1 9%
Unknown 9 82%
Readers by discipline Count As %
Computer Science 1 9%
Engineering 1 9%
Unknown 9 82%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 April 2020.
All research outputs
#7,302,653
of 25,655,374 outputs
Outputs from ADS
#6,209
of 26,152 outputs
Outputs of similar age
#38,301
of 119,872 outputs
Outputs of similar age from ADS
#26
of 176 outputs
Altmetric has tracked 25,655,374 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 26,152 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 76% 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 119,872 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 67% of its contemporaries.
We're also able to compare this research output to 176 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.