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
Source: 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/10635/63184
ISSN: 00189529
DOI: 10.1109/TR.2004.841709
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