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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
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    Chapter 1 The Death of Object-Oriented Programming
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    Chapter 2 Automated Choreography Repair
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    Chapter 3 A Graph-Based Semantics Workbench for Concurrent Asynchronous Programs
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    Chapter 4 ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters
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    Chapter 5 Integrated Environment for Verifying and Running Distributed Components
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    Chapter 6 Fundamental Approaches to Software Engineering
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    Chapter 7 Fundamental Approaches to Software Engineering
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    Chapter 8 RuleMerger : Automatic Construction of Variability-Based Model Transformation Rules
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    Chapter 9 Two-Step Transformation of Model Traversal EOL Queries for Large CDO Repositories
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    Chapter 10 Mind the Gap! Automated Anomaly Detection for Potentially Unbounded Cardinality-Based Feature Models
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    Chapter 11 Cut Branches Before Looking for Bugs: Sound Verification on Relaxed Slices
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    Chapter 12 The Influences of Edge Instability on Change Propagation and Connectivity in Call Graphs
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    Chapter 13 Modeling and Abstraction of Memory Management in a Hypervisor
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    Chapter 14 Crowdsourced Bug Triaging: Leveraging Q&A Platforms for Bug Assignment
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    Chapter 15 Model-Based Testing of Probabilistic Systems
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    Chapter 16 An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-adaptive Systems
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    Chapter 17 Family-Based Modeling and Analysis for Probabilistic Systems – Featuring ProFeat
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    Chapter 18 Statistical Model Checking of e-Motions Domain-Specific Modeling Languages
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    Chapter 19 Towards Formal Proof Metrics
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    Chapter 20 Reduction Rules for Colored Workflow Nets
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    Chapter 21 Many-Valued Institutions for Constraint Specification
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    Chapter 22 CafeInMaude: A CafeOBJ Interpreter in Maude
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    Chapter 23 Verifying a Verifier: On the Formal Correctness of an LTS Transformation Verification Technique
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    Chapter 24 Hybrid Session Verification Through Endpoint API Generation
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    Chapter 25 PVAIR: Partial Variable Assignment InterpolatoR
Overall attention for this book and its chapters
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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 (89th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
8 X users

Citations

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2 Dimensions

Readers on

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14 Mendeley
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Title
Fundamental Approaches to Software Engineering
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-662-49665-7
ISBNs
978-3-66-249664-0, 978-3-66-249665-7
Authors

Aspinall, David, Kaliszyk, Cezary

Editors

Perdita Stevens, Andrzej Wąsowski

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 15 May 2023.
All research outputs
#1,673,200
of 23,983,331 outputs
Outputs from Lecture notes in computer science
#280
of 8,172 outputs
Outputs of similar age
#29,784
of 400,779 outputs
Outputs of similar age from Lecture notes in computer science
#64
of 581 outputs
Altmetric has tracked 23,983,331 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,172 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 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 400,779 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 581 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.