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- W2569763990 abstract "There are many factors that affect the level of requirements volatility a system experiences over its lifecycle and the risk that volatility imparts. Improper requirements generation, undocumented user expectations, conflicting design decisions, and anticipated / unanticipated world states are representative of these volatility factors. Combined, these volatility factors can increase programmatic risk and adversely affect successful system development. This paper proposes that a Bayesian Network can be used to support reasonable judgments concerning the most likely sources and types of requirements volatility a developing system will experience prior to starting development and by doing so it is possible to predict the level of requirements volatility the system will experience over its lifecycle. This assessment offers valuable insight to the system's developers, particularly by providing a starting point for risk mitigation planning and execution." @default.
- W2569763990 created "2017-01-13" @default.
- W2569763990 creator A5031974131 @default.
- W2569763990 date "2010-03-01" @default.
- W2569763990 modified "2023-09-23" @default.
- W2569763990 title "Assessing Requirements Volatility and Risk Using Bayesian Networks" @default.
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