Towards Continuous Safety Assessment in Context of DevOps
Marc Zeller

TL;DR
This paper proposes a continuous safety assessment pipeline for safety-critical systems using model-based safety assessment methods to enable automated, continuous delivery in safety-critical software development.
Contribution
It introduces a novel continuous delivery pipeline specifically designed for safety-critical systems, integrating safety assessment automation.
Findings
Proposes a pipeline integrating safety assessment into continuous delivery
Demonstrates feasibility of automating safety assessments in safety-critical systems
Enhances safety compliance in DevOps environments
Abstract
Traditionally, promoted by the internet companies, continuous delivery is more and more appealing to industries which develop systems with safety-critical functions. Since safety-critical systems must meet regulatory requirements and require specific safety assessment processes in addition to the normal development steps, enabling continuous delivery of software in safety-critical systems requires the automation of the safety assessment process in the delivery pipeline. In this paper, we outline a continuous delivery pipeline for realizing continuous safety assessment in software-intensive safety-critical systems based on model-based safety assessment methods.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
