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20152026
most citedSafety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees

59 citations · 150 across the 44 of their papers we have counts for

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cs.PL2026

Towards a Deductive Verification Infrastructure for Weighted Programming

Emma Ahrens, Samuel Rode, Philipp Schröer +1

Weighted programs extend guarded commands with trace weights drawn from a semiring, or more generally a monoid-module. Varying this algebra gives one programmatic syntax for a vari…

cs.PL2026

Multiobjective Preexpectation Reasoning for Probabilistic Programs

Lena Verscht, Hannah Mertens, Kevin Batz +3

Probabilistic programs with nondeterminism model planning problems in which a strategy resolves the nondeterminism to optimize an expected outcome. We study the multiobjective sett…

cs.PL2026

Scalable Probabilistic Program Verification via Typed Extended Decision Diagrams

Daniel Basgöze, Kevin Batz, Sebastian Junges +1

Weakest pre-expectations are the probabilistic program analogue to weakest preconditions in classical programs. Deductive verification approaches aim to establish bounds on these q…

cs.PL2026

Caesar: A Deductive Verifier for Probabilistic Programs

Philipp Schröer, Kevin Batz, Umut Yiğit Dural +4

Caesar is a deductive verifier for probabilistic programs. At its core lies HeyVL, a quantitative intermediate verification language based on the real-valued logic HeyLo. HeyVL all…

cs.PL2026

Highly Incremental: A Simple Programmatic Approach for Many Objectives (Extended Version)

Philipp Schröer, Joost-Pieter Katoen

We present a one-fits-all programmatic approach to reason about a plethora of objectives on probabilistic programs. The first ingredient is to add a reward-statement to the languag…

cs.PL20261 cited

Generating Functions Meet Occupation Measures: Invariant Synthesis for Probabilistic Loops (Extended Version)

Darion Haase, Kevin Batz, Adrian Gallus +4

A fundamental computational task in probabilistic programming is to infer a program's output (posterior) distribution from a given initial (prior) distribution. This problem is cha…