The steps of the phase are
analysis of query redundancy, unified query prioritizing, and construction of the
data requirements matrix.
Data Quality-Based Requirements Elicitation for Decision Support Systems
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??? Analysis.of.query.redundancy:.Equivalent requirements are identified, that
is, requirements such that queries and associated data quality are the same. Its
goal is to reduce the number of requirements to the data sources. We do not
have this situation in our case study.
??? Unified query prioritizing: During the initial phases we worked with different
domains. We now need to unify all requirements from these domains, and
define priorities between them. DSS-METRIQ proposes the following order of
priorities: Priorities between domains -> Priorities between users -> Priorities
between queries of the same user: Intuitively, the idea is that the requirement
with the least priority in a domain prevails over the requirement with
the highest priority in the domain immediately following (in importance) the
previous one. The following formula defines the global priority computation
for a query ???Q??? denoted PriorityG(Q). This empirical expression is intends to
capture the order of priorities defined previously:
PriorityG.
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