A systematic approach for safety evidence collection in the safety-critical domain

Huan Lin, Ji Wu, Chunchun Yuan, Yaping Luo, M. Brand, Luc Engelen
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引用次数: 7

Abstract

In order to show that the required safety objectives are met, it is necessary to collect safety evidence in the form of consistent and complete data. However, manual safety evidence collection is usually tedious and time-consuming, due to a large number of artifacts and implicit relations between them. The potential ambiguities in the textual description of safety objectives even increase the difficulties of collecting the necessary safety evidence. Consequently, suppliers, who have to ensure that the required objectives have been fulfilled, need to investigate safety evidence requirements very carefully and rigorously to avoid collecting any ineffective information, or missing any important information. This paper proposes a systematic, model-based approach to facilitate manual safety evidence collection with clear evidence requirements. To evaluate the effectiveness of our approach, an industrial case study on an avionics Real-Time Operating System (RTOS) is conducted. A large number of evidence items are collected from thousands of artifacts (involving more than 10,000 test cases and nearly thousand pages of requirement specification), for demonstrating the compliance of system development with the avionic safety standard RTCA DO-178C.
安全关键领域安全证据收集的系统方法
为了证明达到了要求的安全目标,需要以一致和完整的数据的形式收集安全证据。然而,人工安全证据的采集往往是繁琐而耗时的,因为人工证据中存在大量的人工证据,而且人工证据之间存在隐性的联系。在安全目标的文字描述中潜在的模糊性甚至增加了收集必要的安全证据的困难。因此,供应商必须确保所要求的目标已经实现,必须非常仔细和严格地调查安全证据要求,以避免收集任何无效的信息,或遗漏任何重要的信息。本文提出了一种系统的、基于模型的方法,以方便具有明确证据要求的人工安全证据收集。为了评估我们的方法的有效性,对航空电子实时操作系统(RTOS)进行了一个工业案例研究。从数千个工件(涉及超过10,000个测试用例和近千页的需求规范)中收集了大量的证据项,以证明系统开发符合航空电子安全标准RTCA DO-178C。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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