Abstract
What if you need models to say that a value assignment is uncertain, and to quantify that uncertainty? What if models need to include random variables? This chapter focuses on how to represent that value assignments to model parts are uncertain. This is done by allowing random variables to be associated with model parts, and defining probability spaces for these random variables, so that you can give a probability that the random variable takes a specific value, or any value in a range. The section is organized around the following questions: How to represent independent random variables in a model. (Sect. 11.2) What to do when there are dependent random variables in a model. (Sect. 11.3)
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© 2015 Springer International Publishing Switzerland
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Jureta, I. (2015). Uncertainty. In: The Design of Requirements Modelling Languages. Springer, Cham. https://doi.org/10.1007/978-3-319-18821-8_11
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DOI: https://doi.org/10.1007/978-3-319-18821-8_11
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-18821-8
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