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Search-Based Software Engineering

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

Table of Contents

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    Book Overview
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    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
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    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
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    Chapter 20 Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System
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    Chapter 21 Search-Based Software Engineering
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    Chapter 22 Repairing and Optimizing Hadoop hashCode Implementations
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    Chapter 23 Erratum: Repairing and Optimizing Hadoop hashCode Implementations
Attention for 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 title
On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring
Chapter number 3
Book title
Search-Based Software Engineering
Published in
Lecture notes in computer science, January 2014
DOI 10.1007/978-3-319-09940-8_3
Book ISBNs
978-3-31-909939-2, 978-3-31-909940-8
Authors

Boukhdhir Amal, Marouane Kessentini, Slim Bechikh, Josselin Dea, Lamjed Ben Said

Editors

Claire Le Goues, Shin Yoo

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
United Kingdom 1 2%
Brazil 1 2%
Unknown 45 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 31%
Student > Master 11 23%
Professor > Associate Professor 5 10%
Student > Bachelor 3 6%
Researcher 3 6%
Other 4 8%
Unknown 7 15%
Readers by discipline Count As %
Computer Science 32 67%
Engineering 6 13%
Unspecified 1 2%
Unknown 9 19%