Abstract
In the traditional project management discipline, performance tracking is based on analysis and comparisons between the performance in a given moment of the project and the planned performance. The quantitative project management proposed in CMMI model allows predicting the current and future performance based on performance models. The Six Sigma methodology supports these models through statistical tools that are suitable for the quantitative management implementation. This paper presents a case in the definition of performance models based in CMMI and Six Sigma and their application in productivity prediction on the projects of a software organization.
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Bezerra, C.I.M., Carneiro Coelho, C., Pires, C.G.S., Albuquerque, A.B. (2010). Practical Application of Performance Models to Predict the Productivity of Projects. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_47
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DOI: https://doi.org/10.1007/978-90-481-3658-2_47
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