Design and Assurance of Control Software

IF 5.6 1区 计算机科学 Q1 COMPUTER SCIENCE, SOFTWARE ENGINEERING IEEE Transactions on Software Engineering Pub Date : 2025-02-07 DOI:10.1109/TSE.2025.3539975
Nancy G. Leveson
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Abstract

When I was EIC of TSE and before, software design approaches were matched with the type of application. Since that time, software has become a major component in the control of potentially dangerous systems and has grown enormously in size. Most of these systems require high assurance of important properties, such as safety and security, and sometimes, require regulatory certification before they can be used. Today, however, such assurance is usually very expensive and limited in its power. This short paper proposes a change in how software is designed that can greatly simplify the development, assurance, and maintenance and evolution of critical control software.
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控制软件的设计与保证
在TSE的EIC以及之前,软件设计方法是与应用类型相匹配的。从那时起,软件已经成为控制潜在危险系统的主要组成部分,并且在规模上有了巨大的增长。这些系统中的大多数都需要高度保证重要的属性,例如安全性和安全性,有时在使用之前需要获得监管认证。然而,在今天,这种保证通常非常昂贵,而且能力有限。这篇短文提出了软件设计方式的改变,可以极大地简化关键控制软件的开发、保证、维护和演变。
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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来源期刊
IEEE Transactions on Software Engineering
IEEE Transactions on Software Engineering 工程技术-工程:电子与电气
CiteScore
9.70
自引率
10.80%
发文量
724
审稿时长
6 months
期刊介绍: IEEE Transactions on Software Engineering seeks contributions comprising well-defined theoretical results and empirical studies with potential impacts on software construction, analysis, or management. The scope of this Transactions extends from fundamental mechanisms to the development of principles and their application in specific environments. Specific topic areas include: a) Development and maintenance methods and models: Techniques and principles for specifying, designing, and implementing software systems, encompassing notations and process models. b) Assessment methods: Software tests, validation, reliability models, test and diagnosis procedures, software redundancy, design for error control, and measurements and evaluation of process and product aspects. c) Software project management: Productivity factors, cost models, schedule and organizational issues, and standards. d) Tools and environments: Specific tools, integrated tool environments, associated architectures, databases, and parallel and distributed processing issues. e) System issues: Hardware-software trade-offs. f) State-of-the-art surveys: Syntheses and comprehensive reviews of the historical development within specific areas of interest.
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