Search-Based Software Engineering

1. Front Matter

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2. Full Research Papers

   1. On the Effectiveness of Whole Test Suite Generation

      • Andrea Arcuri, Gordon Fraser

      Pages 1-15

   2. Detecting Program Execution Phases Using Heuristic Search

      • Omar Benomar, Houari Sahraoui, Pierre Poulin

      Pages 16-30

   3. On the Use of Machine Learning and Search-Based Software Engineering for Ill-Defined Fitness Function: A Case Study on Software Refactoring

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

      Pages 31-45

   4. Producing Just Enough Documentation: The Next SAD Version Problem

      • J. Andres Diaz-Pace, Matias Nicoletti, Silvia Schiaffino, Santiago Vidal

      Pages 46-60

   5. A Multi-model Optimization Framework for the Model Driven Design of Cloud Applications

      • Danilo Ardagna, Giovanni Paolo Gibilisco, Michele Ciavotta, Alexander Lavrentev

      Pages 61-76

   6. A Pattern-Driven Mutation Operator for Search-Based Product Line Architecture Design

      • Giovani Guizzo, Thelma Elita Colanzi, Silvia Regina Vergilio

      Pages 77-91

   7. Mutation-Based Generation of Software Product Line Test Configurations

      • Christopher Henard, Mike Papadakis, Yves Le Traon

      Pages 92-106

   8. Multi-objective Genetic Optimization for Noise-Based Testing of Concurrent Software

      • Vendula Hrubá, Bohuslav Křena, Zdeněk Letko, Hana Pluháčková, Tomáš Vojnar

      Pages 107-122

   9. Bi-objective Genetic Search for Release Planning in Support of Themes

      • Muhammad Rezaul Karim, Guenther Ruhe

      Pages 123-137

   10. Combining Stochastic Grammars and Genetic Programming for Coverage Testing at the System Level

       • Fitsum Meshesha Kifetew, Roberto Tiella, Paolo Tonella

       Pages 138-152

   11. Feature Model Synthesis with Genetic Programming

       • Lukas Linsbauer, Roberto Erick Lopez-Herrejon, Alexander Egyed

       Pages 153-167

   12. A Robust Multi-objective Approach for Software Refactoring under Uncertainty

       • Mohamed Wiem Mkaouer, Marouane Kessentini, Slim Bechikh, Mel Ó Cinnéide

       Pages 168-183

   13. Towards Automated A/B Testing

       • Giordano Tamburrelli, Alessandro Margara

       Pages 184-198

   14. Random-Weighted Search-Based Multi-objective Optimization Revisited

       • Shuai Wang, Shaukat Ali, Arnaud Gotlieb

       Pages 199-214

3. Short Papers

   1. A New Learning Mechanism for Resolving Inconsistencies in Using Cooperative Co-evolution Model

      • Yongrui Xu, Peng Liang

      Pages 215-221

4. Graduate Student Track Papers

   1. Improving Heuristics for the Next Release Problem through Landscape Visualization

      • Richard Fuchshuber, Márcio de Oliveira Barros

      Pages 222-227

   2. Machine Learning for User Modeling in an Interactive Genetic Algorithm for the Next Release Problem

      • Allysson Allex Araújo, Matheus Paixão

      Pages 228-233

   3. Transaction Profile Estimation of Queueing Network Models for IT Systems Using a Search-Based Technique

      • Shadi Ghaith, Miao Wang, Philip Perry, John Murphy

      Pages 234-239

5. SBSE Challenge Track Papers

   1. Less is More: Temporal Fault Predictive Performance over Multiple Hadoop Releases

      • Mark Harman, Syed Islam, Yue Jia, Leandro L. Minku, Federica Sarro, Komsan Srivisut

      Pages 240-246

This book constitutes the refereed proceedings of the 6th International Symposium on Search-Based Software Engineering, SSBSE 2014, held in Fortaleza, Brazil.
The 14 revised full papers presented together with 2 keynote addresses, 1 invited talk, 1 short paper, 3 papers of the graduate track, and 4 challenge track papers were carefully reviewed and selected from 51 submissions. Search Based Software Engineering (SBSE) studies the application of meta-heuristic optimization techniques to various software engineering problems, ranging from requirements engineering to software testing and maintenance.

• aspect-oriented programming
• combinatorial optimization
• design patterns
• genetic algorithms
• genetic programming
• machine learning
• meta-heuristic optimization
• multi-objective optimization
• refactoring
• requirements engineering
• reverse engineering
• search based software engineering
• software architecture
• software engineering
• software product lines
• software testing
• variability modeling
• algorithm analysis and problem complexity

• School of Computer Science, Institute for Software Research, Carnegie Mellon University, Pittsburgh, USA

  Claire Goues

• Department of Computer Scioence, University College London, London, UK

  Shin Yoo

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