Moosbrugger, M., Müllner, J., Bartocci, E., & Kovacs, L. (2025). Polar: An Algebraic Analyzer for (Probabilistic) Loops. In Principles of Verification: Cycling the Probabilistic Landscape (Vol. 15260, pp. 179–200). https://doi.org/10.1007/978-3-031-75783-9_8
E191-01 - Forschungsbereich Cyber-Physical Systems E192-04 - Forschungsbereich Formal Methods in Systems Engineering E056-10 - Fachbereich SecInt-Secure and Intelligent Human-Centric Digital Technologies E056-17 - Fachbereich Trustworthy Autonomous Cyber-Physical Systems
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Published in:
Principles of Verification: Cycling the Probabilistic Landscape
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Date (published):
2025
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Number of Pages:
22
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Peer reviewed:
Yes
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Keywords:
Probabilistic Loops; Invariants Generation; Program Loops; Program Analysis
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Project title:
Distribution Recovery for Invariant Generation of Probabilistic Programs: ICT19-018 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) Automated Reasoning with Theories and Induction for Software Technologies: ERC Consolidator Grant 2020 (European Commission) QuAT: Quantifiers and Arithmetic Theories are Friends with Benefits: ARA 20223 (Amazon Research Awards)
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Research Areas:
Computer Engineering and Software-Intensive Systems: 100%
