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Titlebook: Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops; DECSoS 2020, DepDevO António Casimiro,Frank Ortmeier,Pedro Ferreira Co

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發(fā)表于 2025-3-21 18:56:11 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops
副標(biāo)題DECSoS 2020, DepDevO
編輯António Casimiro,Frank Ortmeier,Pedro Ferreira
視頻videohttp://file.papertrans.cn/234/233747/233747.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops; DECSoS 2020, DepDevO António Casimiro,Frank Ortmeier,Pedro Ferreira Co
描述.This book constitutes the proceedings of the Workshops held in conjunction with SAFECOMP 2020, 39th International Conference on Computer Safety, Reliability and Security, Lisbon, Portugal, September 2020..The 26 regular papers included in this volume were carefully reviewed and selected from 45 submissions; the book also contains one invited paper. The workshops included in this volume are:..DECSoS 2020:.15th Workshop on Dependable Smart Embedded and Cyber-Physical Systems and Systems-of-Systems...DepDevOps 2020:.First International Workshop on Dependable Development-Operation Continuum Methods for Dependable Cyber-Physical Systems...USDAI 2020:.First International Workshop on Underpinnings for Safe Distributed AI...WAISE 2020:.Third International Workshop on Artificial Intelligence Safety Engineering..The workshops were held virtually due to the COVID-19 pandemic..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; computer hardware; computer networks; computer programming; computer science; co
版次1
doihttps://doi.org/10.1007/978-3-030-55583-2
isbn_softcover978-3-030-55582-5
isbn_ebook978-3-030-55583-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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A Method to Support the Accountability of Safety Cases by Integrating Safety Analysis and Model-Basetifacts. Increasingly complex in-vehicle systems are making traditional safety analysis artifacts more difficult for reviewers to understand. One of the requirements for improvement is to provide more understandable explanations of failure behaviors. The AIAG/VDA FMEA (Failure Mode and Effect Analys
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Assurance Case Patterns for Cyber-Physical Systems with Deep Neural Networksrantees about the safety properties of these systems becomes ever more important. Tools for reasoning about the safety of DNN-based systems have started to emerge. In this paper, we show that assurance cases can be used to argue about the safety of CPS with DNNs by proposing assurance case patterns
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An Instruction Filter for Time-Predictable Code Execution on Standard Processors a timely manner might lead to catastrophic consequences. It is therefore necessary to determine reliable bounds on the execution time of tasks. However, timing analysis, whether done statically using a timing model or based on measurements, struggles with the large number of possible execution path
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