Title :
Application of quantitative fault tree analysis based on fuzzy synthetic evaluation to software development for space camera
Author :
Li, Yang ; Song, Kefei
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Abstract :
Software reliability analysis is a significant measure to guide design of software reliability. Now software fault tree method to carry on software reliability analysis is used more and more. But it can only qualitative carry on the analysis because of many reasons. For example, the scale of software is enlarging, the software architecture is getting more and more complex, the reason of software fault is very difficult to analyze, the software is difference with hardware, and it is very hard to obtain the expiration the quantitative data and so on. The space camera is extremely high to the reliable request. So the qualitative analysis is unable to satisfy the analysis request. In view of space camera characteristics, a method of fault tree analysis based on fuzzy synthetic evaluation is proposed. The results show that the new method makes software quantitative fault tree analysis possible and optimizes. It can also solve the problem of software component which is unable to quantize precisely.
Keywords :
fault trees; object-oriented programming; program diagnostics; software architecture; software fault tolerance; fuzzy synthetic evaluation; qualitative analysis; quantitative fault tree analysis; software architecture; software component; software development; software fault tree method; software reliability analysis; space camera; Cameras; Fault trees; Probability; Programming; Software; Software reliability; Fault Tree Analysis; bottom event; formatting; fuzzy synthetic evaluation; insert; relative significance; software reliability component; style; styling;
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
DOI :
10.1109/AIMSEC.2011.6010596