Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72275
Title: Additive reliability model for the analysis of modular software failure data
Authors: Xie, M. 
Wohlin, C.
Issue Date: 1995
Source: Xie, M.,Wohlin, C. (1995). Additive reliability model for the analysis of modular software failure data. Proceedings of the International Symposium on Software Reliability Engineering, ISSRE : 188-194. ScholarBank@NUS Repository.
Abstract: Most software reliability models are applicable to a single piece of software. For more complex systems, Markov models have been studied assuming that complete reliability information at the module level is available. In this paper, we study an additive model which assumes that each subsystem or module undergoes independent testing and the reliability of the complete system has to be assessed. Subsystem reliabilities are estimated and the system reliability is assessed using the additive model. The approach is simple, but generic in a sense that existing models can be combined. An example is also presented based on the log-power model, a model with simple graphical interpretation, and it shows that the modular information should be used for system reliability assessment whenever such information is available.
Source Title: Proceedings of the International Symposium on Software Reliability Engineering, ISSRE
URI: http://scholarbank.nus.edu.sg/handle/10635/72275
ISSN: 10719458
Appears in Collections:Staff Publications

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