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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
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    Chapter 1 Many Independent Objective (MIO) Algorithm for Test Suite Generation
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    Chapter 2 Search Based Path and Input Data Generation for Web Application Testing
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    Chapter 3 An Empirical Evaluation of Evolutionary Algorithms for Test Suite Generation
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    Chapter 4 Automatic Detection of Incomplete Requirements Using Symbolic Analysis and Evolutionary Computation
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    Chapter 5 Generating Effective Test Suites by Combining Coverage Criteria
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    Chapter 6 LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation
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    Chapter 7 An Investigation into the Use of Mutation Analysis for Automated Program Repair
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    Chapter 8 MuSynth: Program Synthesis via Code Reuse and Code Manipulation
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    Chapter 9 Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives
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    Chapter 10 Grammar Based Genetic Programming for Software Configuration Problem
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    Chapter 11 GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU
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    Chapter 12 Evaluating CAVM: A New Search-Based Test Data Generation Tool for C
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    Chapter 13 Using Search-Based Test Generation to Discover Real Faults in Guava
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    Chapter 14 Optimising Darwinian Data Structures on Google Guava
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    Chapter 15 A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava
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    Chapter 16 Hyperheuristic Observation Based Slicing of Guava
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    Chapter 17 Diversity in Search-Based Unit Test Suite Generation
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    Chapter 18 Automated Controlled Experimentation on Software by Evolutionary Bandit Optimization
Attention for Chapter 14: Optimising Darwinian Data Structures on Google Guava
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Chapter title
Optimising Darwinian Data Structures on Google Guava
Chapter number 14
Book title
Search Based Software Engineering
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-66299-2_14
Book ISBNs
978-3-31-966298-5, 978-3-31-966299-2
Authors

Michail Basios, Lingbo Li, Fan Wu, Leslie Kanthan, Earl T. Barr, Basios, Michail, Li, Lingbo, Wu, Fan, Kanthan, Leslie, Barr, Earl T.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 30%
Student > Ph. D. Student 2 20%
Student > Master 1 10%
Unknown 4 40%
Readers by discipline Count As %
Computer Science 4 40%
Engineering 1 10%
Unknown 5 50%

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