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- W2790988860 abstract "The prominent approach for reducing a problem’s complexity is to decompose it into less complex subproblems, solve each of these, and then aggregate the subsolutions into an overall solution. In time prediction contexts, this approach is typically the basis of what has been referred to as the bottom-up method, the activity-based method, or predictions based on a work breakdown structure. Generally, across a range of domains, decomposition has been found to improve judgement quality and increase prediction accuracy (Armstrong et al in J Bus Res 68:1717–1731, 2015 [1]). In the domain of time predictions, however, there are also situations in which decomposition leads to overoptimistic and less accurate judgements (Jorgensen in Inf Softw Technol 46:3–16, 2004 [2])." @default.
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- W2790988860 date "2018-01-01" @default.
- W2790988860 modified "2023-09-28" @default.
- W2790988860 title "Time Prediction Methods and Principles" @default.
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- W2790988860 doi "https://doi.org/10.1007/978-3-319-74953-2_7" @default.
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