Abstract
Since the demand for reduction of the development period to software projects is more critical than before, it is important for project managers to have a benchmark which is the shortest duration to complete a project. In the present work using projects data analysis, it is demonstrated that upper limit productivity of a software development project is inverse proportional to the number of members. This finding is transformed to the other finding that the lowest limit of duration for a software development project is proportional to development size. This indicates that if the development size of the project is estimated, one can have the estimation model that predicts the lowest limit duration of the project. This model is accurate enough in spite of being simple and easy to create.
