DocumentCode
3438911
Title
Design of safety-critical software reliability demonstration test based on Bayesian theory
Author
Yumei Wu ; Haifeng Li ; Yongli Yu
Author_Institution
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
fYear
2013
fDate
15-18 July 2013
Firstpage
996
Lastpage
1005
Abstract
The original software reliability demonstration test (SRDT) takes no consideration of prior knowledge and priori distribution adequately, which costs a lot of time and resource. A new improved Bayesian based SRDT method was proposed. First, a framework for SRDT scheme was constructed. According to the framework the decreasing function was employed to construct the priori distribution density functions for discrete and continuous safety-critical software respectively, and then discrete Bayesian software demonstration function (DBSDF) scheme and continuous Bayesian software demonstration function (CBSDF) scheme were presented. A set of comparative experiments have been carried out with the classic demonstration testing scheme on several published data sets. The experimental results reveal that both DBSDF scheme and CBSDF scheme are more efficient and applicable especially for the safety-critical software with high reliability requirements.
Keywords
Bayes methods; safety-critical software; software reliability; Bayesian based SRDT method; Bayesian theory; CBSDF scheme; DBSDF scheme; continuous Bayesian software demonstration function; discrete Bayesian software demonstration function; distribution density functions; published data sets; safety-critical software reliability demonstration test; Distribution functions; Measurement; Probability density function; Safety; Software; Software reliability; Bayesian Theory; decreasing function; hierarchical priori distribution function; safety critical software; software reliability demonstration test (SRDT);
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4799-1014-4
Type
conf
DOI
10.1109/QR2MSE.2013.6625734
Filename
6625734
Link To Document