Search Based Software Engineering

1. Front Matter

   Pages I-XXVI

   PDF

2. Long Research Papers

   1. Front Matter

      Pages 1-1

      PDF

   2. Many Independent Objective (MIO) Algorithm for Test Suite Generation

      • Andrea Arcuri

      Pages 3-17

   3. Search Based Path and Input Data Generation for Web Application Testing

      • Matteo Biagiola, Filippo Ricca, Paolo Tonella

      Pages 18-32

   4. An Empirical Evaluation of Evolutionary Algorithms for Test Suite Generation

      • José Campos, Yan Ge, Gordon Fraser, Marcelo Eler, Andrea Arcuri

      Pages 33-48

   5. Automatic Detection of Incomplete Requirements Using Symbolic Analysis and Evolutionary Computation

      • Byron DeVries, Betty H. C. Cheng

      Pages 49-64

   6. Generating Effective Test Suites by Combining Coverage Criteria

      • Gregory Gay

      Pages 65-82

   7. LIPS vs MOSA: A Replicated Empirical Study on Automated Test Case Generation

      • Annibale Panichella, Fitsum Meshesha Kifetew, Paolo Tonella

      Pages 83-98

   8. An Investigation into the Use of Mutation Analysis for Automated Program Repair

      • Christopher Steven Timperley, Susan Stepney, Claire Le Goues

      Pages 99-114

3. Short Research Papers

   1. Front Matter

      Pages 115-115

      PDF

   2. MuSynth: Program Synthesis via Code Reuse and Code Manipulation

      • Vineeth Kashyap, Rebecca Swords, Eric Schulte, David Melski

      Pages 117-123

   3. Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives

      • Elias Khalil, Mustafa Assaf, Abdel Salam Sayyad

      Pages 124-129

   4. Grammar Based Genetic Programming for Software Configuration Problem

      • Fitsum Meshesha Kifetew, Denisse Muñante, Jesús Gorroñogoitia, Alberto Siena, Angelo Susi, Anna Perini

      Pages 130-136

   5. GPGPGPU: Evaluation of Parallelisation of Genetic Programming Using GPGPU

      • Jinhan Kim, Junhwi Kim, Shin Yoo

      Pages 137-142

   6. Evaluating CAVM: A New Search-Based Test Data Generation Tool for C

      • Junhwi Kim, Byeonghyeon You, Minhyuk Kwon, Phil McMinn, Shin Yoo

      Pages 143-149

4. Challenge Papers

   1. Front Matter

      Pages 151-151

      PDF

   2. Using Search-Based Test Generation to Discover Real Faults in Guava

      • Hussein Almulla, Alireza Salahirad, Gregory Gay

      Pages 153-160

   3. Optimising Darwinian Data Structures on Google Guava

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

      Pages 161-167

   4. A Hyper-heuristic for Multi-objective Integration and Test Ordering in Google Guava

      • Giovani Guizzo, Mosab Bazargani, Matheus Paixao, John H. Drake

      Pages 168-174

   5. Hyperheuristic Observation Based Slicing of Guava

      • Seongmin Lee, Shin Yoo

      Pages 175-180

This book constitutes the refereed proceedings of the 9th International Symposium on Search-Based Software Engineering, SSBSE 2017, held in Paderborn, Germany, in September 2017. 

The 7 full papers and 5 short papers presented together with 4 challenge track and 2 students student track papers were carefully reviewed and selected from 26 submissions.


SSBSE welcomes not only applications from throughout the software engineering lifecycle but also a broad range of search methods
ranging from exact Operational Research techniques to nature-inspired algorithms and simulated annealing.

• artificial intelligence
• genetic algorithms
• evolutionary algorithms
• software engineering
• computer architecture
• test generations
• programming languages
• multiobjective optimization
• algorithm analysis and problem complexity

• North Carolina State University, Morgantown, USA

  Tim Menzies

• Department of Computer Science, University College London, London, United Kingdom

  Justyna Petke

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