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Search Based Software Engineering

Overview of attention for book
Cover of 'Search Based Software Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Java Enterprise Edition Support in Search-Based JUnit Test Generation
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    Chapter 2 HOMI: Searching Higher Order Mutants for Software Improvement
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    Chapter 3 Search Based Test Suite Minimization for Fault Detection and Localization: A Co-driven Method
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    Chapter 4 Validation of Constraints Among Configuration Parameters Using Search-Based Combinatorial Interaction Testing
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    Chapter 5 Search-Based Testing of Procedural Programs: Iterative Single-Target or Multi-target Approach?
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    Chapter 6 A Search Based Approach for Stress-Testing Integrated Circuits
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    Chapter 7 An (Accidental) Exploration of Alternatives to Evolutionary Algorithms for SBSE
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    Chapter 8 Improved Crossover Operators for Genetic Programming for Program Repair
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    Chapter 9 Scaling up the Fitness Function for Reverse Engineering Feature Models
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    Chapter 10 A Multi-objective Approach to Prioritize and Recommend Bugs in Open Source Repositories
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    Chapter 11 Search Based Clustering for Protecting Software with Diversified Updates
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    Chapter 12 Test Data Generation Efficiency Prediction Model for EFSM Based on MGGP
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    Chapter 13 Search-Based Generalization and Refinement of Code Templates
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    Chapter 14 Amortised Deep Parameter Optimisation of GPGPU Work Group Size for OpenCV
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    Chapter 15 Automated Testing of Web Applications with TESTAR
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    Chapter 16 API-Constrained Genetic Improvement
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    Chapter 17 Challenges in Using Search-Based Test Generation to Identify Real Faults in Mockito
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    Chapter 18 Deep Parameter Optimisation for Face Detection Using the Viola-Jones Algorithm in OpenCV
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    Chapter 19 Multi-objective Regression Test Suite Minimisation for Mockito
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    Chapter 20 Searching for Configurations in Clone Evaluation – A Replication Study
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    Chapter 21 AVMf: An Open-Source Framework and Implementation of the Alternating Variable Method
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    Chapter 22 A Method Dependence Relations Guided Genetic Algorithm
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    Chapter 23 Preliminary Study of Multi-objective Features Selection for Evolving Software Product Lines
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    Chapter 24 Interactive Code Smells Detection: An Initial Investigation
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    Chapter 25 Human Resource Allocation in Agile Software Projects Based on Task Similarities
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    Chapter 26 Improving the Performance of Many-Objective Software Refactoring Technique Using Dimensionality Reduction
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    Chapter 27 Field Report: Applying Monte Carlo Tree Search for Program Synthesis
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    Chapter 28 Dynamic Bugs Prioritization in Open Source Repositories with Evolutionary Techniques
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
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
10 tweeters

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Search Based Software Engineering
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-47106-8
ISBNs
978-3-31-947105-1, 978-3-31-947106-8
Editors

Federica Sarro, Kalyanmoy Deb

Twitter Demographics

The data shown below were collected from the profiles of 10 tweeters 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 24%
Student > Ph. D. Student 2 10%
Researcher 2 10%
Professor 2 10%
Unknown 10 48%
Readers by discipline Count As %
Computer Science 6 29%
Engineering 2 10%
Unknown 13 62%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 November 2016.
All research outputs
#1,964,356
of 12,196,880 outputs
Outputs from Lecture notes in computer science
#1,156
of 7,229 outputs
Outputs of similar age
#62,089
of 265,894 outputs
Outputs of similar age from Lecture notes in computer science
#12
of 104 outputs
Altmetric has tracked 12,196,880 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,229 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 83% 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 265,894 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 104 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.