Resumos
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.
Análise de Encapsulamento de Dados; medição de eficiência; avaliação cruzada
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.
Medindo eficiência em desenvolvimento de sistemas
Antonio Allen Meireles AlcantaraI; Annibal Parracho Sant'AnnaII
IPrograma de Engenharia de Produção - COPPE/UFRJ, allen@br-petrobras.com.br
IIDepartamento de Engenharia de Produção - UFF. Rua Passo da Pátria, 156 24210-240 Niterói-RJ, annibal@ruralrj.com.br
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.
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Referências
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.
Anexo I
Clique para ampliar
- 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.
Datas de Publicação
-
Publicação nesta coleção
05 Out 2010 -
Data do Fascículo
Dez 2001
