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Evaluate team’s performance on long-duration projects can be a challenge. It relies on human expertise to perform estimations, which can generate uncertainty and dependency of experienced specialists. Statistical techniques, such as modeling and simulations, are suitable options as tools to support projects estimations. Our goal in this paper is a formal mapping of the main Waterfall model characteristics to stochastic model to predict performance indices of teams such as the real working time.

A structured stochastic model for software project estimation in Waterfall models (S)