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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 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 20: Babel Pidgin: SBSE Can Grow and Graft Entirely New Functionality into a Real World System
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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