When software systems are introduced, these systems are used in field environments that\nare the same as or close to those used in the development-testing environments; however, they may\nalso be used in many different locations that may differ from the environment in which they were\ndeveloped and tested. As such, it is difficult to improve software reliability for a variety of reasons,\nsuch as a given environment, or a bug location in code. In this paper, we propose a new software\nreliability model that takes into account the uncertainty of operating environments. The explicit mean\nvalue function solution for the proposed model is presented. Examples are presented to illustrate\nthe goodness of fit of the proposed model and several existing non-homogeneous Poisson process\n(NHPP) models and confidence intervals of all models based on two sets of failure data collected\nfrom software applications. The results show that the proposed model fits the data more closely than\nother existing NHPP models to a significant extent.
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