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2012 20th IEEE International Requirements Engineering Conference (RE)
Managing requirements uncertainty with partial models
Chicago, IL, USA USA
September 24-September 28
ISBN: 978-1-4673-2783-1
Rick Salay, University of Toronto, Toronto, Canada
Marsha Chechik, University of Toronto, Toronto, Canada
Jennifer Horkoff, University of Toronto, Toronto, Canada
Models are good at expressing information that is known but do not typically have support for representing what information a modeler does not know at a particular phase in the software development process. Partial models address this by being able to precisely represent uncertainty about model content. In previous work, we developed a general approach for defining partial models and applied it to capturing uncertainty, including reasoning over design models containing uncertainty. In this paper, we show how to apply our approach to managing requirements uncertainty. In particular, we address the problem of specifying uncertainty within a requirements model, refining a model as uncertainty reduces and reasoning with traceability relations between models containing uncertainty. We illustrate our approach using the meeting scheduler example.
Citation:
Rick Salay, Marsha Chechik, Jennifer Horkoff, "Managing requirements uncertainty with partial models," re, pp.1-10, 2012 20th IEEE International Requirements Engineering Conference (RE), 2012
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