Title :
SSRGM: Software Strong Reliability Growth Model Based on Failure Loss
Author :
Huang Yafang ; Liu Yanzhao ; Luo Ping
Author_Institution :
Key Lab. for Inf. Syst. Security, Tsinghua Univ., Beijing, China
Abstract :
Failures that exist in software cause tremendous damage and bring large amount of loss. Thus the research of software trustworthiness has been attracted much attention from all over the world. By considering the impact of failure loss, the traditional definition of software reliability is redefined in this paper and improved to software strong reliability. Based on this new definition and traditional J-M model, a new model called SSRGM is proposed along with its mathematical relationship and implementation based on Markov Chain. Besides, through experiment and analysis, the conclusion that this model is correct and effective is drawn.
Keywords :
Markov processes; safety-critical software; trusted computing; J-M model; Markov chain; SSRGM model; mathematical relationship; software failure loss; software strong reliability growth model; software trustworthiness; Loss measurement; Markov processes; Mathematical model; Software; Software measurement; Software reliability; J-M model; Markov chain; failure loss; software reliability;
Conference_Titel :
Parallel Architectures, Algorithms and Programming (PAAP), 2012 Fifth International Symposium on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4566-8
DOI :
10.1109/PAAP.2012.43
