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researcher

Matthias Barkowsky

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.SE2

identity via Semantic Scholar / OpenAlex

most citedTowards Highly Scalable Runtime Models with History

7 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SE2020★ 5 cited

A Scalable Querying Scheme for Memory-efficient Runtime Models with History

Lucas Sakizloglou, Sona Ghahremani, Matthias Barkowsky +1

Runtime models provide a snapshot of a system at runtime at a desired level of abstraction. Via a causal connection to the modeled system and by employing model-driven engineering…

cs.SE2020★ 7 cited

Towards Highly Scalable Runtime Models with History

Lucas Sakizloglou, Sona Ghahremani, Thomas Brand +2

Advanced systems such as IoT comprise many heterogeneous, interconnected, and autonomous entities operating in often highly dynamic environments. Due to their large scale and compl…

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