Search-Based Software Testing (SBST) is the application of optimizing search techniques (for example, Genetic Algorithms) to solve problems in software testing. SBST is used to generate test data, prioritize test cases, minimize test suites, reduce human oracle cost, verify software models, test service-orientated architectures, construct test suites for interaction testing, and validate real-time properties.
The objectives of this workshop are to bring together researchers and industrial practitioners both from SBST and the wider software engineering community to share experience and provide directions for future research, and to encourage the use of search techniques in novel aspects of software testing in combination with other aspects of the software engineering lifecycle.
Professor and FNR PEARL Chair, Interdisciplinary Centre for ICT Security, Reliability and Trust (SnT) University of Luxembourg
Cristian Cadar is a Senior Lecturer in the Department of Computing at Imperial College London, where he leads the Software Reliability Group. His research interests involve building practical tools for improving the reliability and security of software systems.
"The SBST community should be extending their work on testing to address the problem of testing X. Possible fitness functions for X could be ..."
If you have any queries, please contact the organisers.
Phil McMinn (University of Sheffield, UK) – email@example.com
Mark Harman (University College London, UK) – firstname.lastname@example.org
Sina Shamshiri (University of Sheffield, UK) – email@example.com
Zheng Li (Beijing University of Chemical Technology, China) – firstname.lastname@example.org
Gursaran Srivastava (Dayalbagh Educational Institute, India) – email@example.com