Uncertainty Management in Dependable and Intelligent Embedded Software

被引：1

作者：

Perez-Cerrolaza, Jon J. ^{[1
]}

Cazorla, Francisco ^{[2
,3
]}

Abella, Jaume ^{[2
]}

机构：

[1] Basque Res & Technol Alliance, Dependable Autonomous Syst, Ikerlan, Arrasate Mondragon 20500, Spain

[2] Barcelona Comp Ctr, Barcelona, Spain

[3] Rapita Syst, Barcelona, Spain

来源：

COMPUTER | 2023年 / 56卷 / 03期

关键词：

Uncertainty; Embedded systems; High performance computing; Full stack; Machine learning; Embedded software;

D O I：

10.1109/MC.2023.3235093

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The development of dependable and intelligent embedded systems progresses. However, integrating complex software stacks, machine learning solutions, and high-performance computing devices amplifies the functional and temporal uncertainty sources engineers must manage when developing dependable systems and software.

引用

页码：114 / 117

页数：4

共 6 条

[1] Statistical Test Coverage for Linux-Based Next-Generation Autonomous Safety-Related Systems
Allende, Imanol
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Perez-Cerrolaza, Jon
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Perez Cerrolaza, Jon
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[J]. ACM COMPUTING SURVEYS, 2020, 53 (04)
[5] GPU Devices for Safety-Critical Systems: A Survey
Perez-Cerrolaza, Jon
Abella, Jaume
Kosmidis, Leonidas
Calderon, Alejandro J.
Cazorla, Francisco
Luis Flores, Jose
[J]. ACM COMPUTING SURVEYS, 2023, 55 (07)
[6] Embedded Artificial Intelligence: The ARTEMIS Vision
Serpanos, Dimitrios
Ferrari, Gianluigi
Nikolakopoulos, George
Perez, Jon
Tauber, Markus
Van Baelen, Stefan
[J]. COMPUTER, 2020, 53 (11) : 65 - 69

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