SEJun 4, 2021

Towards the adoption of model-based engineering for the development of safety-critical systems in industrial practice

arXiv:2106.02273v14 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of improving productivity and quality in safety-critical systems development for industrial practitioners, but it appears incremental as it builds on existing model-based engineering concepts without introducing new methods.

The paper identifies practical challenges in developing safety-critical systems across various domains and proposes that adopting model-based engineering can address these issues, though no specific results or numbers are provided.

Model-based engineering promises to boost productivity and quality of complex systems development. In the context of safety-critical systems, a traditionally highly regulated and conservative domain, the use of models gained importance in the recent years. In this paper, we present a set of practical challenges in developing safety-critical systems with the help of several examples of development projects that belong to different application domains. Following this, we show how could the adoption of model-based engineering for the development of safety-critical systems cope with these challenges.

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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