Enhancing Data Warehouse Design with the NFR Framework

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Enhancing Data Warehouse Design with the NFR Framework

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by Fábio Rilston , Silva Paim , Jaelson F. B. Castro

Venue:	5th Workshop on Requirements Engineering (WER2002
Citations:	3 - 0 self

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@INPROCEEDINGS{Rilston_enhancingdata,
    author = {Fábio Rilston and Silva Paim and Jaelson F. B. Castro},
    title = {Enhancing Data Warehouse Design with the NFR Framework},
    booktitle = {5th Workshop on Requirements Engineering (WER2002},
    year = {},
    pages = {11--12}
}

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Abstract

Abstract. In recent years, Data Warehouse has emerged as a powerful technology for integrating heterogeneous data into a multidimensional repository on behalf of decision-support analysis. The complex extraction, transformation and loading process involved, as well as the aggregational-intensive queries are governed by a multitude of quality factors such as integrity, accessibility, performance, and other domain-specific non-functional requirements (NFRs). This clearly advocates the use of an NFR approach in support of building a high-quality data warehouse specification. In this work we extend the NFR Framework [3] to define catalogues of major data warehouse NFR types and related operational methods, for latter reuse during the specification stage. We illustrate the contributions of our approach in a case study on a large data warehouse project. 1.

Keyphrases

nfr framework data warehouse design decision-support analysis case study domain-specific non-functional requirement nfr approach data warehouse latter reuse powerful technology quality factor major data warehouse nfr type complex extraction heterogeneous data large data warehouse project aggregational-intensive query recent year multidimensional repository high-quality data warehouse specification specification stage related operational method

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