It will also be
our task to analyze data quality in each one of the data sources, indicating for each
piece of data, the data source from which we will obtain it and the data quality we
can expect. Thus, we must specify the queries (functional requirements) that could
be addressed by the system (given the available data sources) satisfying the data
quality levels imposed by our customer (nonfunctional requirements). There will
be a requirements engineering team, composed of a project leader, a training team,
a team for carrying out the interviews, a data processing team, and a dictionary
manager (more on dictionaries in the following sections). Our customer provided
a list containing the contact information of the employees (belonging to different
areas), who will cooperate in the process.
Contributions and Chapter Organization
We introduce a methodology (denoted DSS-METRIQ) for requirements elicitation
in DSS, aimed at providing an integrated process specification for the complete
and consistent analysis of functional (queries) and nonfunctional (data quality) requirements
in DSS. We provide detailed mechanisms for collecting functional and
Data Quality-Based Requirements Elicitation for Decision Support Systems 6
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