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20102026
most citedA Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems

137 citations · 525 across the 67 of their papers we have counts for

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cs.PL2026

Polar: An Algebraic Analyzer for (Probabilistic) Loops

Marcel Moosbrugger, Julian Müllner, Ezio Bartocci +1

We present the Polar framework for fully automating the analysis of classical and probabilistic loops using algebraic reasoning. The central theme in Polar comes with handling alge…

cs.PL2023

(Un)Solvable Loop Analysis

Daneshvar Amrollahi, Ezio Bartocci, George Kenison +3

Automatically generating invariants, key to computer-aided analysis of probabilistic and deterministic programs and compiler optimisation, is a challenging open problem. Whilst the…

cs.PL2022

Solving Invariant Generation for Unsolvable Loops

Daneshvar Amrollahi, Ezio Bartocci, George Kenison +3

Automatically generating invariants, key to computer-aided analysis of probabilistic and deterministic programs and compiler optimisation, is a challenging open problem. Whilst the…

cs.PL2022★ 29 cited

This Is the Moment for Probabilistic Loops

Marcel Moosbrugger, Miroslav Stankovič, Ezio Bartocci +1

We present a novel static analysis technique to derive higher moments for program variables for a large class of probabilistic loops with potentially uncountable state spaces. Our…

cs.PL2021

The Probabilistic Termination Tool Amber

Marcel Moosbrugger, Ezio Bartocci, Joost-Pieter Katoen +1

We describe the Amber tool for proving and refuting the termination of a class of probabilistic while-programs with polynomial arithmetic, in a fully automated manner. Amber combin…

cs.PL2020

Automated Termination Analysis of Polynomial Probabilistic Programs

Marcel Moosbrugger, Ezio Bartocci, Joost-Pieter Katoen +1

The termination behavior of probabilistic programs depends on the outcomes of random assignments. Almost sure termination (AST) is concerned with the question whether a program ter…