Scaling Data Marts: An Appropriateness of a Functional Metric
Abstract
Estimate the size of a project to define time, cost and resources is a continuous necessity of the companies. In this direction, several boardings had appeared with the objective of estimate the size of software, like the Analysis for Points of Function - one of boardings more used by the market currently. With the appearing of Data Mart technology and the increase of the demand of development of these systems, the companies had started to also demand estimate of these products to allow a better management in the production of them. Data Mart systems, however, have proper characteristics and particularitities in the development different of the traditional systems. So, it makes necessary the adequacy of one of the boardings of measurement of traditional systems for Data Mart systems. In this article, we consider one adequacy of the Analysis for Points of Function and present results of application of this proposal in real projects of Caixa Econômica Federal.
Keywords:
Functional measurement, Data Mart, size estimation, Function Point Analysis
References
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BARBIERI, C. BI-Business Intelligence – Modelagem & tecnologia. Rio de Janeiro: Axcel Books do Brasil Editora, 2001.
FENTON,N., PFLEEGER, S. Software Metrics A Rigorous & Practical Approach. Boston: PWS Publishing Company, 1997. 638 p.
GARMUS,D. Function Points Analysis – Measurement Practices for Successful Software Projects. Estados Unidos: Addison Wesley,2001.363 p.
INMON, W.H. , Definition of a Data Warehouse. 1999. Disponível em:
IFPUG. International Function Point Users Group. Function Point Counting Practices Manual: Release 4.1. Ohio: IFPUG. 2000. 1 v.
ISO/IEC 9126:2001.Software engineering – Product quality.2001.
KIMBALL, R., ROSS, M. Data warehouse toolkit: o guia completo para modelagem multidimensional.Rio de Janeiro: Campus, 2002. 494 p.
MACHADO, F. Projeto de Data Warehouse – uma visão multidimensional. São Paulo: Erica, 2000.
OLIGNY, S., ABRAN, A. On the compatibility between full function points and IFPUG function points. In: PROCEEDINGS OF THE 10TH EUROPEAN SOFTWARE CONTROL AND METRIC CONFERENCE – ESCOM, 1999. Herstmonceux Castle, Inglaterra. p.1-9.
SANTILLO, L. Size & estimation of data warehouse systems. In: THE EUROPEAN SOFTWARE MEASUREMENT CONFERENCE – FESMA – DASMA, 2001. Heidelberg, Alemanha .p.12.
SIMÕES, C. Sistemática de Métricas, qualidade e produtividade.Developers’ Magazine, Brasil, 1999. 7p.
UK. UKSMA Metrics Practices Committee. MKII Function Point Analysis Counting Practices Manual. Version 1.3.1. UK, 1998. 100 p.
Published
2003-09-02
How to Cite
SEIDEL, Angélica Toffano; DE OLIVEIRA, Káthia Marçal; DOS SANTOS, Rildo Ribeiro.
Scaling Data Marts: An Appropriateness of a Functional Metric. In: BRAZILIAN SOFTWARE QUALITY SYMPOSIUM (SBQS), 2. , 2003, Fortaleza.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2003
.
p. 165-178.
DOI: https://doi.org/10.5753/sbqs.2003.15699.
