Pedrito Maynard-Zhang

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One inherent characteristic of requirements engineering is a lack of certainty during this early phase of a project. Nevertheless, decisions about requirements must be made in spite of this uncertainty. Traditionally, we have handled this uncertainty by continually revisiting requirements at later stages of a project when some of the uncertainty has been(More)
This paper addresses multi-source information integra- tion in stochastic environments where information from sources consists of probabilistic domain models (repre- sented as joint distributions or Bayesian networks) learned from data. We extend the batch algorithm proposed by Maynard-Reid II and Chajewska [9] to accommodate incre- mental integration so as(More)
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