Some examples of these techniques are GQM
(goal question metric) (Basili, Caldiera, & Rombach, 1992) and QFD (quality function
deployment) (Akao,1997).
In summary, traditional software development methodologies do not apply to DSS,
and focus on software correctness, paying little attention to the problem of data
quality and completeness, given that, in general, this is not considered an issue in
the requirement analysis phase of the software development cycle for operational
systems. Based on these points, we propose a methodology called DSS-METRIQ
that integrates concepts of requirements engineering and data quality, in order to
provide a comprehensive solution to the requirements elicitation process specifi-
cally oriented to DSS.
Case.Study
Throughout the chapter we will discuss the following case study. We must collect
requirements for a DSS for a wholesale chain called ???Los Andes??? (specialized in food
products). The chain has three branches in the Argentina countryside. The project
involves the development of a data warehouse and a DSS for supporting the daily
tasks of decision makers. The company has many different sources of operational
data. We must carry out the requirements elicitation process, with the following goals
in mind: discovery and documentation of user queries, addressing the information
quality required by our customer (that we must also help to define).
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