DocumentCode
2298544
Title
The Design and Application of Fault Tree Benchmark
Author
Mo, Yuchang ; Zhong, Farong ; Yang, Quansheng ; Zhang, Lejun
Author_Institution
Coll. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
fYear
2010
fDate
1-2 Nov. 2010
Firstpage
64
Lastpage
68
Abstract
To cope with the problems related to benchmark size and diversity for performance evaluation of fault tree analysis methods, this paper defines a reliable benchmark and then proposes a two-step approach to create such a reliable benchmark by randomly generating a set of fault trees. As an illustration, two widely used variable ordering heuristics TD and DF are tested on 1200 random fault trees. Following conclusions are derived: (1) The impact of changing logic and structure parameters on performance is not significant. (2) With the increase of repeated events, TD has an increased chance to produce smaller BDDs than DF. Nevertheless, DF always has more than 80% chance to produce smaller BDDs.
Keywords
binary decision diagrams; fault trees; random number generation; set theory; BDD; fault tree analysis method; fault tree benchmark size; performance evaluation diversity; random fault tree; random set generation; structure parameter; variable ordering heuristics; Algorithm design and analysis; Benchmark testing; Boolean functions; Data structures; Fault trees; Logic gates; Reliability; benchmark; binary decision diagram; fault tree analysis; variable ordering;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Computing for Science and Engineering (ICICSE), 2010 Fifth International Conference on
Conference_Location
Heilongjiang
Print_ISBN
978-1-4244-9954-0
Type
conf
DOI
10.1109/ICICSE.2010.26
Filename
6076542
Link To Document