© 2019

Search-Based Software Engineering

11th International Symposium, SSBSE 2019, Tallinn, Estonia, August 31 – September 1, 2019, Proceedings

  • Shiva Nejati
  • Gregory Gay
Conference proceedings SSBSE 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11664)

Also part of the Programming and Software Engineering book sub series (LNPSE, volume 11664)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Keynote

  3. Research Papers

    1. Front Matter
      Pages 9-9
    2. Thelma Elita Colanzi, Wesley Klewerton Guez Assunção, Paulo Roberto Farah, Silvia Regina Vergilio, Giovani Guizzo
      Pages 42-57
    3. Thomas Vogel, Chinh Tran, Lars Grunske
      Pages 58-74
    4. Deema Alshoaibi, Kevin Hannigan, Hiten Gupta, Mohamed Wiem Mkaouer
      Pages 75-88
    5. Hassan Sartaj, Muhammad Zohaib Iqbal, Atif Aftab Ahmed Jilani, Muhammad Uzair Khan
      Pages 105-120
    6. Ricardo F. Vilela, Victor H. S. C. Pinto, Thelma E. Colanzi, Simone R. S. Souza
      Pages 121-136
  4. Short and Student Papers

    1. Front Matter
      Pages 153-153
    2. Altino Dantas, Eduardo F. de Souza, Jerffeson Souza, Celso G. Camilo-Junior
      Pages 164-170
    3. Dan Bruce, Héctor D. Menéndez, David Clark
      Pages 171-180
  5. Challenge Paper

    1. Front Matter
      Pages 181-181
    2. Justyna Petke, Alexander E. I. Brownlee
      Pages 183-189
  6. Back Matter
    Pages 191-191

About these proceedings


This book constitutes the refereed proceedings of the 11th International Symposium on Search-Based Software Engineering, SSBSE 2019, held in Tallinn, Estonia, in August/September 2019. 
The 9 research papers and 3 short papers presented together with 1 keynote  and 1 challenge paper were carefully reviewed and selected from 28 submissions. SSBSE is a research area focused on the formulation of software engineering problems as search problems, and the subsequent use of complex heuristic techniques to attain optimal solutions to such problems. A wealth of engineering challenges - from test generation, to design refactoring, to process organization - can be solved efficiently through the application of automated optimization techniques. SBSE is a growing field - sitting at the crossroads between AI, machine learning, and software engineering - and SBSE techniques have begun to attain human-competitive results.


search-based software engineering software engineering machine learning mobile applications software analytics model-based testing concurrent software testing partition testing evolutionary algorithms genetic algorithms programming languages search spaces software evaluation java

Editors and affiliations

  1. 1.SnT/University of LuxembourgLuxembourgLuxembourg
  2. 2.University of South CarolinaColumbiaUSA

Bibliographic information