Paper Info
Title
Crane: A Tool for Reliability Analysis with Different Coverage Models
Abstract
In this paper, we introduce Crane, a new software tool for reliability analysis of systems subject to perfect and imperfect fault coverage. Crane supports qualitative and quantitative analysis of traditional fault trees, imperfect fault coverage model (IFCM), and irrelevancy coverage model (ICM). ICM is a new coverage model which can detect and isolate irrelevant components in addition to faulty components, such that the not-covered faults of the irrelevant components will not affect the system anymore. The analysis of ICM is not available in the third-party tools. A generalized multiple-valued decision diagram algorithm is implemented in Crane, and it can be used to analyze both IFCM and ICM. Crane supports graphic and text input modes. Experimental results on some benchmark fault trees show that Crane outperforms some existing tools in terms of the efficiency for evaluation of minimal cut sets, and it can also be used to analyze the reliability of IFCM and ICM in an efficient way.
Year
DOI
Venue
2018
10.1109/LADC.2018.00029
2018 Eighth Latin-American Symposium on Dependable Computing (LADC)
Keywords
Field
DocType
Cranes,Fault trees,Tools,Reliability,Java,Python,Analytical models
Software tool,Data mining,Imperfect,Fault coverage,Computer science,Influence diagram,Fault tree analysis,Java,Python (programming language),Distributed computing
Conference
ISSN
ISBN
Citations 
2471-6820
978-1-5386-8489-4
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
Jianwen Xiang111323.36
Lang Liu200.34
Ming Yang324226.75
Siwei Zhou433.45
Luyao Ye512.73
Caisheng Weng661.46
Dongdong Zhao73420.62
Jing Tian873.43