Traversal time modeling of safety critical in-vehicle communication using reliability modeling techniques

Author(s):  
Nika Nowizki ◽  
Peter Zeiler ◽  
Bernd Bertsche
Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.


Author(s):  
David J Smith ◽  
Kenneth GL Simpson

1980 ◽  
Vol 24 (1) ◽  
pp. 123-123
Author(s):  
Linda O. Hecht

Due to the concern for safety the nuclear power industry in the United States has fostered the use of reliability analysis to assess system performance and the impact of system failure on overall plant safety. The need for system and component failure rate data has been recognized and has spurred such efforts as NPRDS (Nuclear Power Research Data System) and IEEE's Std 500 (The Reliability Data Manual). Reliability modeling techniques have been developed for application to nuclear systems and are presently being considered by the Nuclear Regulatory Commission for licensing purposes.


2015 ◽  
Vol 144 ◽  
pp. 285-295 ◽  
Author(s):  
Sang Hun Lee ◽  
Hee Eun Kim ◽  
Kwang Seop Son ◽  
Sung Min Shin ◽  
Seung Jun Lee ◽  
...  

Author(s):  
David J. Smith ◽  
Kenneth G.L. Simpson

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