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