Simplified Markov Model for Reliability Analysis of Phased-Mission System Using States Merging Method

2018 ◽  
Vol 23 (3) ◽  
pp. 418-422 ◽  
Author(s):  
Hua Yan ◽  
Li Gao ◽  
Lei Qi ◽  
Ping Wan
Author(s):  
Lu Zhang ◽  
Yuting Dong ◽  
Dongliang Nan ◽  
Yonghui Sun ◽  
Wenhuan Wang ◽  
...  

2018 ◽  
Vol 7 (2.32) ◽  
pp. 91
Author(s):  
Dr S. Srinivasa Rao ◽  
D Sowjanya ◽  
CH Dileep Chowdary ◽  
M Harika

In the software reliability analysis we proposed an approach, which is named as Model Driven Development method. This is a modelling and model transformation techniques. The Markov model used in reliability fields is modified to adapt to error propagation behaviors of components. The Markov model has been used for results of reliability analysis. Markov model which means that that future or upcoming states depend only on the present state not on the events that occurred before it to ensure high reliability of this software is to estimate reliability accurately in the developing phase. Then a study on the transformation between model based on Architecture & Analysis Design Language (AADL) and Markov model has been done. By considering all these a model based software reliability analysis approach is proposed. 


2012 ◽  
Vol 98 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Anatoly Lisnianski ◽  
David Elmakias ◽  
David Laredo ◽  
Hanoch Ben Haim

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