IP-UML: Towards a Methodology for Quality Improvement Based on the IP-MAP Framework

نویسندگان

  • Monica Scannapieco
  • Barbara Pernici
  • Elizabeth M. Pierce
چکیده

In this paper, a UML profile for data quality is proposed with the aim of supporting quality improvement inside an organization. The profile is based on the IP-MAP framework and has the advantage of giving a formal definition to the main concepts related to the management of quality improvement, as well as organizing such concepts into a set of models useful for realizing a software system. A methodology to improve data quality is also discussed. Specifically, a process to produce the UML artifacts designed by the data quality profile is specified and the initial steps of a pattern-based technique to design quality improvement are also presented.

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تاریخ انتشار 2002