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Data Issues of SPSM - Coggle Diagram
Data Issues of SPSM
Data Provenance
Scarcity:
The sample used was restricted to a few projects;
Scarcity of available information on samples
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Reliability: The repository data likely contains systematic biases;
The expert estimates are impeded by a lack of intuition for some of the parameters.
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Availability: Meta data that may not be readily available in real-word projects, model variables required data that was not available in the literature
Diversity:
Diversity of data because of the difference between organizations and project environments
Data Measurement
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Assumption not satisfied:Tasks are typically more differentiated, and the dependencies between tasks are often more dynamic.
Measurement Granularity: Metrics defined in Simulation Model is relatively coarse measures than real data records,
Data Preprocessing
Considerable variability, outliers and noise
Data Collection
Understanding: Misunderstanding of the real meaning of the data;
difficult to find accurate descriptions for data fields because of distributed in various data sources
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