Application of quantitative fault tree analysis for space camera software development[J]. Optics and precision engineering, 2008, 16(11): 2180-2186.DOI:
Application of quantitative fault tree analysis for space camera software development
Quantitative fault tree analysis (FTA) is very effective in analyzing the reliability and safety of space camera software system. It is difficult to get knowledge about system’s faults and construct the structure of fault tree. A method of software fault tree establishing based on Rough set is put forward. Because software failure cause is anfractuous and available data are got hard
an approach to model for bottom event based on vague set is proposed. The relative probabilistic importance of bottom event and the occurrence probabilistic of top event can be calculated using the model. The outcome is very useful to guide design of software reliability and decide the emphases of software test. Experimental results show that the new approach of software fault tree analysis can help designer advance system reliability develop by fault tolerance and error design. The results also show that the new method makes software quantitative analysis possible which is unable to deal with as a result of reliability data getting difficult.
FPGA low level data mining approach based on cluster and rough set
Method of Architecture-based Software Reliability Estimation
Segmentation for extended target in complex backgrounds based on clustering and fractal
Reliability analysis of computer controlled systems
Related Author
JIANG Da-li
ZHAO Bo
CHANG Liang
LI Hua-wang
YANG Gen-qing
魏颖
沈湘衡
ZHANG Kun-hua
Related Institution
Shanghai Institute of Micro-system and Information Technology, Chinese Academy of Sciences2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences3. University of Chinese Academy of Sciences
吉林市北华大学2. 长春光机所检测中心
College of Information Engineering, Shenzhen University
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences