Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/2481
Title: Identifying critical architectural components with spectral analysis of fault trees
Authors: Ayav, Tolga
Sözer, Hasan
Bilgisayar Mühendisliği Bölümü
Keywords: Hardware/software architecture evaluation
Reliability analysis
Fault trees
Fourier analysis
Sensitivity analysis
Importance analysis
Issue Date: 2-Jul-2016
Publisher: Elsevier Ltd.
Source: Ayav, T., and Sözer, H. (2016). Identifying critical architectural components with spectral analysis of fault trees. Applied Soft Computing, 49, 1270-1282. doi:10.1016/j.asoc.2016.06.042
Abstract: We increasingly rely on software-intensive embedded systems. Increasing size and complexity of these hardware/software systems makes it necessary to evaluate reliability at the system architecture level. One aspect of this evaluation is sensitivity analysis, which aims at identifying critical components of the architecture. These are the components of which unreliability contributes the most to the unreliability of the system. In this paper, we propose a novel approach for sensitivity analysis based on spectral analysis of fault trees. We show that measures obtained with our approach are both consistent and complementary with respect to the recognized metrics in the literature.
URI: http://doi.org/10.1016/j.asoc.2016.06.042
http://hdl.handle.net/11147/2481
ISSN: 1568-4946
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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