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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 Many Independent Objective (MIO) Algorithm for Test Suite Generation
  3. Altmetric Badge
    Chapter 2 Search Based Path and Input Data Generation for Web Application Testing
  4. Altmetric Badge
    Chapter 3 An Empirical Evaluation of Evolutionary Algorithms for Test Suite Generation
  5. Altmetric Badge
    Chapter 4 Automatic Detection of Incomplete Requirements Using Symbolic Analysis and Evolutionary Computation
  6. Altmetric Badge
    Chapter 5 Generating Effective Test Suites by Combining Coverage Criteria
  7. Altmetric Badge
    Chapter 6 LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation
  8. Altmetric Badge
    Chapter 7 An Investigation into the Use of Mutation Analysis for Automated Program Repair
  9. Altmetric Badge
    Chapter 8 MuSynth: Program Synthesis via Code Reuse and Code Manipulation
  10. Altmetric Badge
    Chapter 9 Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives
  11. Altmetric Badge
    Chapter 10 Grammar Based Genetic Programming for Software Configuration Problem
  12. Altmetric Badge
    Chapter 11 GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU
  13. Altmetric Badge
    Chapter 12 Evaluating CAVM: A New Search-Based Test Data Generation Tool for C
  14. Altmetric Badge
    Chapter 13 Using Search-Based Test Generation to Discover Real Faults in Guava
  15. Altmetric Badge
    Chapter 14 Optimising Darwinian Data Structures on Google Guava
  16. Altmetric Badge
    Chapter 15 A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava
  17. Altmetric Badge
    Chapter 16 Hyperheuristic Observation Based Slicing of Guava
  18. Altmetric Badge
    Chapter 17 Diversity in Search-Based Unit Test Suite Generation
  19. Altmetric Badge
    Chapter 18 Automated Controlled Experimentation on Software by Evolutionary Bandit Optimization
Attention for Chapter 1: Many Independent Objective (MIO) Algorithm for Test Suite Generation
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Mentioned by

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1 X user

Readers on

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30 Mendeley
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Chapter title
Many Independent Objective (MIO) Algorithm for Test Suite Generation
Chapter number 1
Book title
Search Based Software Engineering
Published in
arXiv, September 2017
DOI 10.1007/978-3-319-66299-2_1
Book ISBNs
978-3-31-966298-5, 978-3-31-966299-2
Authors

Andrea Arcuri

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 40%
Researcher 5 17%
Student > Master 4 13%
Lecturer 1 3%
Other 1 3%
Other 0 0%
Unknown 7 23%
Readers by discipline Count As %
Computer Science 17 57%
Engineering 2 7%
Social Sciences 1 3%
Unknown 10 33%
Attention Score in Context

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 08 January 2019.
All research outputs
#20,447,499
of 23,002,898 outputs
Outputs from arXiv
#674,914
of 944,042 outputs
Outputs of similar age
#276,227
of 316,227 outputs
Outputs of similar age from arXiv
#17,712
of 19,963 outputs
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So far Altmetric has tracked 944,042 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 19,963 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.