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System Dependability and Analytics

Edited by Long Wang (), Karthik Pattabiraman (), Catello Di Martino (), Arjun Athreya () and Saurabh Bagchi ()

in Springer Series in Reliability Engineering from Springer, currently edited by Hoang Pham

Date: 2023
ISBN: 978-3-031-02063-6
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Chapters in this book:

Introduction: Software Dependability
Long Wang
Intelligent Software Engineering for Reliable Cloud Operations
Michael R. Lyu and Yuxin Su
Data Analytics: Predicting Software Bugs in Industrial Products
Robert Hanmer and Veena Mendiratta
From Dependability to Security—A Path in the Trustworthy Computing Research
Shuo Chen
Assessment of Security Defense of Native Programs Against Software Faults
Keun Soo Yim
Multi-layered Monitoring for Virtual Machines
Cuong Pham
Security for Software on Tiny Devices
Saurabh Bagchi
Introduction: Large-Scale Systems and Data Analytics
Saurabh Bagchi
On the Reliability of Computing-in-Memory Accelerators for Deep Neural Networks
Zheyu Yan, Xiaobo Sharon Hu and Yiyu Shi
Providing Compliance in Critical Computing Systems
Long Wang
Application-Aware Reliability and Security: The Trusted Illiac Experience
Karthik Pattabiraman
Mining Dependability Properties from System Logs: What We Learned in the Last 40 Years
Marcello Cinque, Domenico Cotroneo and Antonio Pecchia
Critical Infrastructure Protection: Where Convergence of Logical and Physical Security Technologies is a Must
Luigi Coppolino, Salvatore D’Antonio, Giovanni Mazzeo and Luigi Romano
Introduction: Cyber Physical Systems and Healthcare Analytics
Arjun P. Athreya
On Improving the Reliability of Power Grids for Multiple Power Line Outages and Anomaly Detection
Jie Wu, Jinjun Xiong and Yiyu Shi
Domain-Specific Security Approaches for Cyber-Physical Systems
Hui Lin
Uniting Computational Science with Biomedicine: The NSF Center for Computational Biotechnology and Genomic Medicine (CCBGM)
Liewei Wang and Richard M. Weinshilboum
Data-Driven Approaches to Selecting Samples for Training Neural Networks
Murthy V. Devarakonda
Classifying COVID-19 Variants Based on Genetic Sequences Using Deep Learning Models
Sayantani Basu and Roy H. Campbell
Twenty-First Century Cybernetics and Disorders of Brain and Mind
Gregory Worrell
Introduction: Dependability Assessment
Karthik Pattabiraman
Effect of Epistemic Uncertainty in Markovian Reliability Models
Hiroyuki Okamura, Junjun Zheng, Tadashi Dohi and Kishor S. Trivedi
System Dependability Assessment—Interplay Between Research and Practice
Mohamed Kaâniche and Karama Kanoun
Assessing Dependability of Autonomous Vehicles
Saurabh Jha
Foreword: Computing and Genomics at Illinois
Gene E. Robinson
An Academic Life Begins and Continues at University of Illinois at Urbana-Champaign
Janak H. Patel
Learning from Prof. Iyer
Wen-Mei Hwu

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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssreng:978-3-031-02063-6

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DOI: 10.1007/978-3-031-02063-6

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