Accepted papers – SSBSE 2020

Accepted papers

Research Track

  • Automated Unit Test Generation for Python – Stephan Lukasczyk, Florian Kroiß and Gordon Fraser
  • Do Quality Indicators Prefer Particular Multi-Objective Search Algorithms in Search-Based Software Engineering?– Shaukat Ali, Paolo Arcaini and Tao Yue
  • It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction – Pouria Derakhshanfar, Xavier Devroey and Andy Zaidman
  • Search-based Testing for Scratch Programs – Christoph Frädrich, Adina Deiner, Sophia Geserer, Niklas Zantner and Gordon Fraser
  • Solving Schedulability as a Search Space Problem with Decision Diagrams – Dimitri Racordon, Emmanouela Stachtiari, Aurélien Coet and Didier Buchs
  • Transforming Multi-Objective Interactive Metamodel/Model Co-Evolution into Mono-Objective Search via Designer’s Preferences Extraction – Wael Kessentini and Vahid Alizadeh
  • Evolutionary Grammar-Based Fuzzing – Martin Eberlein, Yannic Noller, Thomas Vogel and Lars Grunske
  • Commonality-Driven Unit Test Generation – Björn Evers, Pouria Derakhshanfar, Xavier Devroey and Andy Zaidman
  • Using a Genetic Algorithm to Optimize Configurations in a Data Driven Application – Urjoshi Sinha, Mikaela Cashman and Myra B. Cohen
  • Measuring and Maintaining Population Diversity in Search-based Unit Test Generation – Nasser Albunian, Gordon Fraser and Dirk Sudholt

New Ideas and Emerging Results (NIER) Track

  • Search@Home: A Commercial Off-the-Shelf Environment for Investigating Optimization Problems -Erik Michael Fredericks and Jared Moore

Replications and Negative Results

  • Exploring The Use of Genetic Algorithm Clustering for Mobile App Categorisation – Afnan Al-Subaihin and Federica Sarro
  • Impact of Test Suite Coverage on Overfitting in Genetic Improvement of Software – Mingyi Lim, Giovani Guizzo and Justyna Petke
  • Bet and Run for Test Case Generation – Sebastian Müller, Thomas Vogel and Lars Grunske
  • Bytecode-based Multiple Condition Coverage: An Initial Investigation – Srujana Bollina and Gregory Gay

Challenge Solutions

  • An application of model seeding to search-based unit test generation for Gson – Mitchell Olsthoorn, Pouria Derakhshanfar and Xavier Devroey
  • Generating Diverse Test Suites for Gson Through Adaptive Fitness Function Selection – Hussein Almulla and Gregory Gay

Challenge Cases

  • Defects4J as a Challenge Case for the Search-Based Software Engineering Community – Gregory Gay and Rene Just