Identifying critical architectural components with spectral analysis of fault trees

Name: Identifying critical architectural components with spectral analysis of fault trees
Author: Ayav, T., Sözer, Hasan

İsim	Identifying critical architectural components with spectral analysis of fault trees
Yazar	Ayav, T., Sözer, Hasan
Basım Tarihi:	2016-12
Basım Yeri	- Elsevier
Konu	Hardware/software architecture evaluation, Reliability analysis, Fault trees, Fourier analysis, Sensitivity analysis, Importance analysis
Tür	Süreli Yayın
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	1568-4946
Kayıt Numarası	be534365-fe1c-41bd-a8dd-2e61ed7e61c4
Lokasyon	Computer Science
Tarih	2016-12
Notlar	TÜBİTAK
Örnek Metin	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.
DOI	10.1016/j.asoc.2016.06.042
Cilt	49

Kaynağa git Özyeğin Üniversitesi

Aramaya Dön

Özyeğin Üniversitesi

Kaynağa git

Identifying critical architectural components with spectral analysis of fault trees

Yazar Ayav, T., Sözer, Hasan

Basım Tarihi 2016-12

Basım Yeri - Elsevier

Konu Hardware/software architecture evaluation, Reliability analysis, Fault trees, Fourier analysis, Sensitivity analysis, Importance analysis

Tür Süreli Yayın

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 1568-4946

Kayıt Numarası be534365-fe1c-41bd-a8dd-2e61ed7e61c4

Lokasyon Computer Science

Tarih 2016-12

Notlar TÜBİTAK

Örnek Metin 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.

DOI 10.1016/j.asoc.2016.06.042

Cilt 49