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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 On the Effectiveness of Whole Test Suite Generation
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    Chapter 2 Detecting Program Execution Phases Using Heuristic Search
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    Chapter 3 On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring
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    Chapter 4 Producing Just Enough Documentation: The Next SAD Version Problem
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    Chapter 5 A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications
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    Chapter 6 A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design
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    Chapter 7 Mutation-Based Generation of Software Product Line Test Configurations
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    Chapter 8 Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software
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    Chapter 9 Bi-objective Genetic Search for Release Planning in Support of Themes
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    Chapter 10 Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level
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    Chapter 11 Search-Based Software Engineering
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    Chapter 12 A Robust Multi-objective Approach for Software Refactoring under Uncertainty
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    Chapter 13 Towards Automated A/B Testing
  15. Altmetric Badge
    Chapter 14 Random-Weighted Search-Based Multi-objective Optimization Revisited
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    Chapter 15 A New Learning Mechanism for Resolving Inconsistencies in Using Cooperative Co-evolution Model
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    Chapter 16 Improving Heuristics for the Next Release Problem through Landscape Visualization
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    Chapter 17 Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem
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    Chapter 18 Transaction Profile Estimation of Queueing Network Models for IT Systems Using a Search-Based Technique
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    Chapter 19 Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases
  21. Altmetric Badge
    Chapter 20 Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System
  22. Altmetric Badge
    Chapter 21 Search-Based Software Engineering
  23. Altmetric Badge
    Chapter 22 Repairing and Optimizing Hadoop hashCode Implementations
  24. Altmetric Badge
    Chapter 23 Erratum: Repairing and Optimizing Hadoop hashCode Implementations
Attention for Chapter 10: Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 Mendeley
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Chapter title
Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level
Chapter number 10
Book title
Search-Based Software Engineering
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-09940-8_10
Book ISBNs
978-3-31-909939-2, 978-3-31-909940-8
Authors

Fitsum Meshesha Kifetew, Roberto Tiella, Paolo Tonella

Editors

Claire Le Goues, Shin Yoo

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

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 44%
Professor > Associate Professor 2 13%
Student > Ph. D. Student 2 13%
Lecturer 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 10 63%
Engineering 2 13%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 3 19%

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 19 February 2022.
All research outputs
#14,673,879
of 21,829,456 outputs
Outputs from Lecture notes in computer science
#4,611
of 8,074 outputs
Outputs of similar age
#167,832
of 281,376 outputs
Outputs of similar age from Lecture notes in computer science
#38
of 79 outputs
Altmetric has tracked 21,829,456 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,074 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 27th percentile – i.e., 27% 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 281,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 79 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.