Achieving Maturity (and Measuring Performance) Through Model-Based Process Improvement

Jose Marcelo Almeida Prado Cestari, Arthur Maria do Valle, Edson Pinheiro de Lima, Eduardo Alves Portela Santos


This paper presents the approach adopted by a software development unit in order to achieve the maturity level 3 of CMMI-DEV and therefore obtaining better performance. Through historical research and secondary data analysis of the organization, the paper intends to answer the following research question: "Could the adoption of maturity/best practices models bring better performance results to small and medium organizations?" Data and analysis conducted show that, besides the creation of indicator’s based management, there are some quantitative performance improvements in indicators such as: Schedule Deviation Rate, Effort Deviation Rate, Percent Late Delivery, Productivity Deviation and Internal Rework Rate


performance management; CMMI; process improvement; quantitative benefits; performance indicators.

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CMMI Product Team. (2010), “CMMI® for Development, Version 1.3”. Technical Report – Software Engineering Institute (SEI). Retrieved from

Crosby, Philip B. (1979), “Quality Is Free: The Art of Making Quality Certain”. New York: McGraw-Hill.

Cross, K.F. and Lynch, R.L. (1988-1989), “The SMART way to define and sustain success”, National Productivity Review, Vol. 9 No. 1, pp. 23-33.

Deming, W. Edwards. (1986), “Out of the Crisis”. Cambridge, MA: MIT Center for Advanced Engineering.

Fetzner, M. A. M. (2010), “Mudança, Afetividade e Resistência: uma perspectiva no âmbito individual para compreender a implementação de Sistemas de Informação nas organizações". PhD thesis. UFRGS.

Ghalayini, A.M., Noble, J.S. and Crowe, T.J. (1997), “An integrated dynamic performance measurement system for improving manufacturing competitiveness”, International Journal of Production Economics, Vol. 48 No. 3, pp. 207-25.

Gibson, D. L., Goldenson , D. R., Kost, K., (2006), “Performance Results of CMMI® - Based Process Improvement”, Carnegie Mellon University: Software Engineering Institute.

Goldenson , D. R., Gibson, D. L. (2003), “Demonstrating the Impact and Benefits of CMMI®: An Update and Preliminary Results”, Carnegie Mellon University: Software Engineering Institute.

Gomes, C. F., Yasin, M. M., and Lisboa, J. V. (2004), “A literature review of manufacturing performance measures and measurement in an organizational context: a framework and direction for future research”, Journal of Manufacturing Technology Management, Vol. 15, No. 6, pp. 511-530.

Hazzan, O., Tomayko, J. (2004), "Human Aspects of Software Engineering: The Case of Extreme Programming". LNCS, 2004, Volume 3092/2004, pp. 303-311.

Humphrey, Watts S. (1989), “Managing the Software Process”. Reading, MA: Addison-Wesley.

Juran, Joseph M. (1988), “Juran on Planning for Quality”. New York: Macmillan.

Kaplan, R.S. and Norton, D.P. (1992), “The balanced scorecard: measures that drive performance”, Harvard Business Review, Vol. 70 No. 1, pp. 71-9.

Keegan, D.P., Eiler, R.G. and Jones, C.R. (1989), “Are your performance measures obsolete?”, Management Accounting, Vol. 71, pp. 45-50.

Lynch, R.L. and Cross, K.F. (1991), Measure up: The Essential Guide to Measuring Business Performance, Mandarin, London.

Neely, A., Richards, H., Mills, J., Platts, K. and Bourne, M. (1997), “Designing performance measures: a structured approach”, International Journal of Operations & Production Management, Vol. 17 No. 11, pp. 1131-1152.

Robbins, S. P. (2005), "Comportamento Organizacional". São Paulo: Prentice Hall.

Rocha, A. R. et al. (2005), “Fatores de Sucesso e Dificuldades na Implementação de Processos de Software Utilizando o MR-MPS e o CMMI”, Pro Quality. Retrieved from

Standard CMMI Appraisal Method for Process Improvement (SCAMPI) A, Version 1.3 (2011): Method Definition Document. Retrieved from


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