Damir Safin

ORCID: 0009-0002-7674-9678
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About
Contact & Profiles
Research Areas
  • Software Testing and Debugging Techniques
  • VLSI and Analog Circuit Testing
  • Autonomous Vehicle Technology and Safety
  • Software Reliability and Analysis Research
  • Real-time simulation and control systems

Fortiss
2024

Technical University of Munich
2024

Search-based software testing (SBST) is an effective and efficient approach for automated driving systems (ADS). However, pipelines ADS are particularly challenging as they involve integrating complex simulation platforms establishing communication protocols APIs with the desired search algorithm. This complexity prevents a wide adoption of SBST thorough empirical comparative experiments different simulators approaches. We present OpenSBT, open-source, modular extensible framework to...

10.1145/3639478.3640027 article EN 2024-04-14

Abstract Search-based software testing (SBST) is a widely-adopted technique for complex systems with large input spaces, such as Deep Learning-enabled (DL-enabled) systems. Many SBST techniques focus on Pareto-based optimization where multiple objectives are optimized in parallel to reveal failures. However, it important ensure that identified failures spread throughout the entire failure-inducing area of search domain, and not clustered sub-region. This ensures semantically diverse wide...

10.1007/s10664-024-10564-3 article EN cc-by Empirical Software Engineering 2024-11-16
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