Production
https://prod.org.br/article/doi/10.1590/S0103-65132001000200006
Production
Article

Medindo eficiência em desenvolvimento de sistemas

Medindo eficiência em desenvolvimento de sistemas

Alcantara, Antonio Allen Meireles; Sant'Anna, Annibal Parracho

Downloads: 0
Views: 932

Resumo

Estudamos neste trabalho as possibilidades de utilização da Análise de Encapsulamento de Dados (DEA) na avaliação da produtividade no desenvolvimento de sistemas. Apontamos um conjunto de variáveis de entrada, que medem os volumes de recursos utilizados, e de saída, que medem o volume da produção resultante. Estudamos relações entre essas variáveis de modo a reduzi-las em número e comparamos os resultados da aplicação de diferentes modelos de DEA. Os resultados obtidos indicam que esta metodologia pode ser aplicada eficientemente para classificar equipes operando em ambientes comparáveis.

Palavras-chave

Análise de Encapsulamento de Dados, medição de eficiência, avaliação cruzada

Abstract

We study here the possibility of application of data Envelopment Analysis (DEA) to the evaluation of productivity in computational systems development. We choose input and output variables for this process and study the relations between them that may allow to simplify the model. We compare the results of application of different DEA models. The results obtained show that cross evaluation can be successfully applied to rank system development teams working in similar environments.

Keywords

Análise de Encapsulamento de Dados, medição de eficiência, avaliação cruzada

References



Banker, R. D., Charnes, A. e Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in DEA, Management Science, 30, pp 1078-1092.

Banker, R. D., Datar, S. M. e Kemerer, C. F. (1991). A Model to Evaluate Variables Impacting the Productivity of Software Maintenance Projects. Management Science, 37, pp. 1-18.

Charnes, A., Cooper, WW e Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units, European Journal of Operational Research, 2, pp. 429-444.

Charnes, A., Cooper, W. W., Lewin, A.Y. e Seiford, L. M. Data Envelopment Analysis: Theory, Methodology and Applications, Kluwer Academic Publishers, Dordrecht, 1994.

Cooper, W. W., Seiford, L. M. e Tone, K. (1999). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-SOLVER Software, Kluwer Academic Publishers, Dordrecht, 1999.

Doyle, J. and Green, R. (1994), Efficiency and Cross-Efficiency in DEA : Derivations, Meanings and Uses, Journal Operational Research Society, vol. 45, n. 5, pp. 567-578.

Estellita Lins, M. e Meza, L. A. Análise Envoltoria de Dados, COPPE-UFRJ, Rio de Janeiro, 1999.

Golany, B. and Roll, Y. (1989), An application procedure for DEA OMEGA, vol. 17, n.3 pp. 237-250

International Function Point Users Group (IFPUG), Function Point Counting Practices Manual, Release 4.1, 1999.

Jones, C. , Applied Software Measurement: Assuring Productivity and Quality, Mc Graw-Hill Book Co., N. York 1996.

Kemayel, L., Mili, A and Quedemi, I. (1991), Controllable Factors for Programmer Productivity : A Statistical Study, Journal Systems Software, 16, pp. 151-165

Norman, M. and Stoker, B., Data Envelopment Analysis. The assessment of Performance, John Wiley & Sons, New York, 1991.

Reese, D. N. Applications of DEA to Software Engineering Management. U. of Tornoto Ph. D. thesis, 1997.

Sexton, T. R., Silkman, H. R. and Hogan, A. J. , Data Envelopment Analysis: Critique and extensions, in Measuring Efficiency: an assessment of Data Envelopment Analysis. Jossey-Bass, San Francisco, 1986.

Thadhani, A. (1984), Factors Affecting Programmer Productivity During Application Development, IBM System Journal, Vol. 23, n 1, pp. 19 -35.

Wong, Y. and Beasley, J. (1990), Restricting Weight Flexibility in Data Envelopment Analysis, Journal Operational Research Society, vol. 41 n. 9, pp. 829-835.

5883a4167f8c9da00c8b4797 1574685864 Articles
Links & Downloads

Production

Share this page
Page Sections