Uncertainty in Artificial Intelligence
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An Application of Uncertain Reasoning to Requirements Engineering
Philip Barry, Kathryn Laskey
Abstract:
This paper examines the use of Bayesian Networks to tackle one of the tougher problems in requirements engineering, translating user requirements into system requirements. The approach taken is to model domain knowledge as Bayesian Network fragments that are glued together to form a complete view of the domain specific system requirements. User requirements are introduced as evidence and the propagation of belief is used to determine what are the appropriate system requirements as indicated by user requirements. This concept has been demonstrated in the development of a system specification and the results are presented here.
Keywords: Requirements engineering, Network fragments, Bayesian networks, Agents
Pages: 41-48
PS Link:
PDF Link: /papers/99/p41-barry.pdf
BibTex:
@INPROCEEDINGS{Barry99,
AUTHOR = "Philip Barry and Kathryn Laskey",
TITLE = "An Application of Uncertain Reasoning to Requirements Engineering",
BOOKTITLE = "Proceedings of the Fifteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-99)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1999",
PAGES = "41--48"
}


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