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Stefan Klikovits

Johannes Kepler University, Linz, Austria

7 papers hereh-index 8228 citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.SE4
  • cs.LG1
  • cs.NE1
  • cs.RO1
affiliations
  • Johannes Kepler University, Linz, Austria
Homepage
same name
  • Stefan Klikovits — 1 paper, h 1
  • Stefan Klikovits — 1 paper, h 0
  • Stefan Klikovits — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212026
most citedArchitecture-Guided Test Resource Allocation Via Logic

1 citations · 3 across the 6 of their papers we have counts for

collaborators
Showing cs.SEShow all

4 papers · 1 filter

cs.SE2026

Software Testing in the Quantum World

Rui Abreu, Shaukat Ali, Paolo Arcaini +11

Quantum computing offers significant speedups for simulating physical, chemical, and biological systems, and for optimization and machine learning. As quantum software grows in com…

cs.SE2022★ 1 cited

Does Road Diversity Really Matter in Testing Automated Driving Systems? -- A Registered Report

Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano +3

Background/Context. The use of automated driving systems (ADSs) in the real world requires rigorous testing to ensure safety. To increase trust, ADSs should be tested on a large se…

cs.SE2021

On the Need for Multi-Level ADS Scenarios

Stefan Klikovits, Paolo Arcaini

Currently, most existing approaches for the design of Automated Driving System (ADS) scenarios focus on the description at one particular abstraction level typically the most detai…

cs.SE2021★ 1 cited

Architecture-Guided Test Resource Allocation Via Logic

Clovis Eberhart, Akihisa Yamada, Stefan Klikovits +4

We introduce a new logic named Quantitative Confidence Logic (QCL) that quantifies the level of confidence one has in the conclusion of a proof. By translating a fault tree represe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.