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- posterMay 2024
Isabelle-verified correctness of Datalog programs for program analysis
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 1731–1734https://doi.org/10.1145/3605098.3636091Static program analysis has become an essential tool for developers to find and avoid bugs as well as security vulnerabilities. This is particularly important for applications requiring formal verification, e.g., safety- or security-critical ...
- research-articleMay 2024
A Formal Framework of Model and Logical Embeddings for Verification of Stochastic Systems
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 1712–1721https://doi.org/10.1145/3605098.3636032This paper proposes a formal framework for minimizing, analyzing and verifying stochastic process algebraic models using tools and techniques developed for the state-labeled domain, and vice versa. First, we modify the model embeddings proposed in the ...
- research-articleMay 2024
Temporal Logic Formalisation of ISO 34502 Critical Scenarios: Modular Construction with the RSS Safety Distance
- Jesse Reimann,
- Nico Mansion,
- James Haydon,
- Benjamin Bray,
- Agnishom Chattopadhyay,
- Sota Sato,
- Masaki Waga,
- Étienne André,
- Ichiro Hasuo,
- Naoki Ueda,
- Yosuke Yokoyama
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 186–195https://doi.org/10.1145/3605098.3636014As the development of autonomous vehicles progresses, efficient safety assurance methods become increasingly necessary. Safety assurance methods such as monitoring and scenario-based testing call for formalisation of driving scenarios. In this paper, we ...
- research-articleMay 2024
The Abstract Expressive Power of First-Order and Description Logics with Concrete Domains
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 754–761https://doi.org/10.1145/3605098.3635984Concrete domains have been introduced in description logic (DL) to enable reference to concrete objects (such as numbers) and predefined predicates on these objects (such as numerical comparisons) when defining concepts. The primary research goal in this ...
- research-articleMay 2024
Can you trust your ML metrics? Using Subjective Logic to determine the true contribution of ML metrics for safety
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 1579–1586https://doi.org/10.1145/3605098.3635966Metrics such as accuracy, precision, recall, F1 score, etc. are generally used to assess the performance of machine learning (ML) models. From a safety perspective, relying on such single point estimates to evaluate safety requirements is problematic ...
- research-articleMay 2024
Verification of Concurrent Machine Code Running on a Single-Core Machine
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 1675–1683https://doi.org/10.1145/3605098.3635924In this paper, we propose a machine-independent logic to verify concurrent machine code running on a single-core machine, using a combination of separation logic and rely/guarantee reasoning. Separation logic is employed to reason about local resources, ...