activity
20202026
most citedAutomatic Optimizations for Stream-based Monitoring Languages

5 citations · 10 across the 16 of their papers we have counts for

collaborators

18 papers

cs.RO2026

Predictive Zonotope Reduction: Precise Runtime Monitoring under Uncertainty

Vladimir Krsmanovic, Florian Kohn, Bernd Finkbeiner +1

Robots operating in physical environments make control decisions based on uncertain sensor measurements, which can lead to unsafe or suboptimal actions. Runtime monitors that check…

cs.PL2026

Stream-based Online and Offline Monitoring under Measurement Noise

Bernd Finkbeiner, Martin Fränzle, Florian Kohn +1

Stream-based monitoring is a runtime verification approach for cyber-physical systems that translates streams of input data, such as sensor readings, into streams of aggregate stat…

cs.AI2026

FairMon: A Tool for Monitoring and Visualizing Algorithmic Fairness

Jan Baumeister, Bernd Finkbeiner, Vladimir Krsmanovic +3

Runtime monitoring has recently been proposed as a rigorous method for analyzing algorithmic fairness of autonomous decision systems used in critical scenarios such as credit lendi…

cs.LO2026

Two Ways to See the Future: Combining Prediction and Future-Offset Accesses in RTLola

Jan Baumeister, Bernd Finkbeiner, Eduard Müller +2

RTLola is a stream-based specification language designed for asynchronous real-time systems. While many temporal specifications naturally refer to future behavior, RTLola currently…

cs.LO2026

Extending RTLola with External Data Queries

Bernd Finkbeiner, Jakob Hirschler, Frederik Scheerer +1

Stream-based monitoring enables the concise specification of complex temporal properties. However, existing stream-based monitors are limited when dealing with large external data…

cs.LO2026

Almost Fair Simulations

Arthur Correnson, Iona Kuhn, Bernd Finkbeiner

It is well known that liveness properties cannot be proven using standard simulation arguments. This issue has been mitigated by extending standard notions of simulation for transi…

cs.PL2026

Pacing Types for Asynchronous Stream Equations

Florian Kohn, Arthur Correnson, Jan Baumeister +1

Stream-based monitoring is a runtime verification approach where a monitor aggregates streams of input data from sensors and other sources to give real-time statistics and assessme…

cs.SE2026

Type-safe Monitoring of Parameterized Streams

Jan Baumeister, Bernd Finkbeiner, Florian Kohn

Stream-based monitoring is a real-time safety assurance mechanism for complex cyber-physical systems such as unmanned aerial vehicles. The monitor aggregates streams of input data…

cs.PL2026

Cutting Corners on Uncertainty: Zonotope Abstractions for Stream-based Runtime Monitoring

Bernd Finkbeiner, Martin Fränzle, Florian Kohn +1

Stream-based monitoring assesses the health of safety-critical systems by transforming input streams of sensor measurements into output streams that determine a verdict. These inpu…

cs.PL2025

Pacing Types: Safe Monitoring of Asynchronous Streams

Florian Kohn, Arthur Correnson, Jan Baumeister +1

Stream-based monitoring is a real-time safety assurance mechanism for complex cyber-physical systems such as unmanned aerial vehicles. In this context, a monitor aggregates streams…

cs.LO2025

Active Monitoring with RTLola: A Specification-Guided Scheduling Approach

Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer

Stream-based monitoring is a well-established runtime verification approach which relates input streams, representing sensor readings from the monitored system, with output streams…

cs.LO2025

An Intermediate Program Representation for Optimizing Stream-Based Languages

Jan Baumeister, Arthur Correnson, Bernd Finkbeiner +1

Stream-based runtime monitors are safety assurance tools that check at runtime whether the system's behavior satisfies a formal specification. Specifications consist of stream equa…

cs.LG2025

Stream-Based Monitoring of Algorithmic Fairness

Jan Baumeister, Bernd Finkbeiner, Frederik Scheerer +2

Automatic decision and prediction systems are increasingly deployed in applications where they significantly impact the livelihood of people, such as for predicting the creditworth…

cs.LO2025★ 4 cited

A Tutorial on Stream-based Monitoring

Jan Baumeister, Bernd Finkbeiner, Florian Kohn +1

Stream-based runtime monitoring frameworks are safety assurance tools that check the runtime behavior of a system against a formal specification. This tutorial provides a hands-on…

cs.PL2025

Coinductive Proofs for Temporal Hyperliveness

Arthur Correnson, Bernd Finkbeiner

Temporal logics for hyperproperties have recently emerged as an expressive specification technique for relational properties of reactive systems. While the model checking problem f…

cs.PL2025

Finding Hyperbugs using Symbolic Execution

Arthur Correnson, Tobias Niessen, Bernd Finkbeiner +1

Many important hyperproperties, such as refinement and generalized non-interference, fall into the class of hyperproperties and require, for each execution trace o…

cs.SE2024★ 1 cited

Monitoring Unmanned Aircraft: Specification, Integration, and Lessons-learned

Jan Baumeister, Bernd Finkbeiner, Florian Kohn +4

This paper reports on the integration of runtime monitoring into fully-electric aircraft designed by Volocopter, a German aircraft manufacturer of electric multi-rotor helicopters.…

cs.FL2020★ 5 cited

Automatic Optimizations for Stream-based Monitoring Languages

Jan Baumeister, Bernd Finkbeiner, Matthis Kruse +1

Runtime monitors that are specified in a stream-based monitoring language tend to be easier to understand, maintain, and reuse than those written in a standard programming language…