Multi-Scale Software Network Model for Software Safety of the Intended Functionality

Zhitao Wu, Xiaoming Yang, Ping Chen, Zongshun Qu, Jun Lin
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引用次数: 1

Abstract

Software systems intensively interact with other software systems and hardware systems, and the potential hazards caused by the interaction with inadequate consideration becomes uncertain, especially the wide application of machine learning technology. Once the functions of software systems cannot meet the requirements of the interactions among software and hardware entities, safety problems caused by non-software system failures as software Safety of the intended functionality (SOTIF) arrise. The uncertainties of interation bring great challenges to SOTIF. In this paper, a multi-scale software network model is proposed based on complex network theory, and with the constructed network, test cases for software SOTIF can be efficiently generated. The key contribution is the uncertainties of interation among the software and hardware entities is digitally modeled, and can play a constructive role for guaranteeing SOTIF of software systems.
基于预期功能的软件安全多尺度软件网络模型
软件系统与其他软件系统和硬件系统之间的交互是密集的,如果考虑不充分,交互所带来的潜在危害就变得不确定,尤其是机器学习技术的广泛应用。一旦软件系统的功能不能满足软件和硬件实体之间交互的要求,由非软件系统故障引起的安全问题即软件预期功能安全(SOTIF)就会出现。国际形势的不确定性给SOTIF带来了巨大的挑战。本文基于复杂网络理论,提出了一种多尺度软件网络模型,利用构建的网络可以高效地生成软件SOTIF的测试用例。关键贡献在于对软件和硬件实体之间交互的不确定性进行了数字化建模,可以为保证软件系统的SOTIF发挥建设性作用。
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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