SEJan 14, 2021

Multi-Fidelity Digital Twins: a Means for Better Cyber-Physical Systems Testing?

arXiv:2101.05697v13 citations
Originality Synthesis-oriented
AI Analysis

This addresses testing difficulties for CPSs in domains like automotive and aerospace, but appears incremental as it builds on existing simulation-based techniques.

The paper tackles the challenge of testing Cyber-Physical Systems (CPSs) by proposing a novel approach to enhance simulation-based testing processes, motivated by examples and open questions, but does not report concrete results or numbers.

Cyber-Physical Systems (CPSs) combine software and physical components. These systems are widely applied in society within many domains, including the automotive, aerospace, railway, etc. Testing these systems is extremely challenging, therefore, it has attracted significant attention from the research community. A driving CPS testing technique in industry is simulation-based testing. However, this poses significant challenges. In this new-idea paper we present a novel approach to enhance the testing processes of CPSs. This novel approach is motivated with examples and open questions.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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