The SPIN symposium aims at bringing together researchers and practitioners interested in automated tool-based techniques for the analysis of software as well as models of software, for the purpose of verification and validation. The symposium specifically focuses on concurrent software but does not exclude the analysis of sequential software. Submissions are solicited on theoretical results, novel algorithms, tool development, and empirical evaluation.

The SPIN symposium originated as a workshop focusing on explicit state model checking, specifically as related to the SPIN model checker. However, over the years it has evolved to a broadly-scoped symposium for software analysis using any automated techniques, including model checking, automated theorem proving, and symbolic execution. An overview of the previous SPIN symposia (and early workshops) can be found at: https://spinroot.com/spin/Workshops/. Previous Proceedings of SPIN can be found at Springer’s website.

Topics

Topics of interest include, but are not limited to:

Formal verification techniques for automated analysis of (concurrent) software/hardware, including:
Model checking
Deductive verification
Automated theorem proving, including SAT and SMT
Abstraction and symbolic execution techniques
Static analysis and abstract interpretation
Modular and compositional verification techniques
Verification of timed, probabilistic, hybrid, and quantum systems
Automated testing using advanced analysis techniques
Program synthesis
Derivation of specifications, test cases etc. via formal analysis
Formal specification languages, temporal logic, design-by-contract
Formal analysis of learned and learning systems
Formal and Hybrid Methods in Artificial Intelligence
Verification of Spatial and Spatio-Temporal Systems
Any combination of the above
Application and/or engineering of verification tools, including:
Case studies of interesting systems or with interesting results
Implementation of novel verification tools
Benchmarks and comparative studies for verification tools
Verification tools using modern hardware, e.g.: multi-core CPU, GPU, TPU, cloud, and quantum