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20202026
most citedAutomatic Optimizations for Stream-based Monitoring Languages

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

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6 papers · 1 filter

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.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.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…