On a method for mending time to failure distributions
Grottke M, Trivedi K (2005)
Publication Type: Conference contribution, Original article
Publication year: 2005
Edited Volumes: Proceedings of the International Conference on Dependable Systems and Networks
Pages Range: 560-569
Event location: Yokohama
DOI: 10.1109/DSN.2005.72
Abstract
Many software reliability growth models assume that the time to next failure may be infinite; i.e., there is a chance that no failure will occur at all. For most software products this is too good to be true even after the testing phase. Moreover, if a non-zero probability is assigned to an infinite time to failure, metrics like the mean time to failure do not exist. In this paper, we try to answer several questions: Under what condition does a model permit an infinite time to next failure? Why do all non-homogeneous Poisson process (NHPP) models of the finite failures category share this property? And is there any transformation mending the time to failure distributions? Indeed, such a transformation exists; it leads to a new family of NHPP models. We also show how the distribution function of the time to first failure can be used for unifying finite failures and infinite failures NHPP models. © 2005 IEEE.
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APA:
Grottke, M., & Trivedi, K. (2005). On a method for mending time to failure distributions. In Proceedings of the International Conference on Dependable Systems and Networks 2005 (pp. 560-569). Yokohama.
MLA:
Grottke, Michael, and Kishor Trivedi. "On a method for mending time to failure distributions." Proceedings of the International Conference on Dependable Systems and Networks 2005, Yokohama 2005. 560-569.
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