Please use this identifier to cite or link to this item: https://doi.org/10.1109/TR.2004.841709
Title: Modeling and analysis of correlated software failures of multiple types
Authors: Dai, Y.-S.
Xie, M. 
Poh, K.-L. 
Keywords: Dependent software runs
Failure category
Failure correlation
Markov renewal process
Multiple failure types
Software reliability
Issue Date: Mar-2005
Citation: Dai, Y.-S., Xie, M., Poh, K.-L. (2005-03). Modeling and analysis of correlated software failures of multiple types. IEEE Transactions on Reliability 54 (1) : 100-106. ScholarBank@NUS Repository. https://doi.org/10.1109/TR.2004.841709
Abstract: Most software reliability models assume independence of successive software runs. It is a strict assumption, and usually not valid in reality. Goseva-Popstojanova & Trivedi [1] presented an interesting study on failure correlation among successive software runs. In this paper, by extending their results, a software reliability model is developed based on a Markov renewal process for the modeling of the dependence among successive software runs, where more than one type of failure is allowed in general formulation. Meanwhile, the cases of restarting with repair, and without repair, are considered. Although such a model is more complex than the traditional approach based on reliability growth, it incorporates more information about the failures, and system structure. A numerical example is also shown to illustrate the procedure, and provide some comparison. © 2005 IEEE.
Source Title: IEEE Transactions on Reliability
URI: http://scholarbank.nus.edu.sg/handle/10635/87075
ISSN: 00189529
DOI: 10.1109/TR.2004.841709
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

68
checked on Sep 12, 2018

WEB OF SCIENCETM
Citations

55
checked on Sep 12, 2018

Page view(s)

42
checked on Sep 7, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.