Software projects are problematic considering their high overruns in terms of execution time and budget. In large scale projects, the monitoring activity is a very difficult task, due to the very complex relation between resources and constraints, and must be based on a well established methodology. The outputs of the monitoring process refer mostly to the current status of the project, which must be reflected as accurate as possible. We propose a model for project status determination. This is a sub-model of a future monitoring model subject of our current research. The project status model not only considers the perspective of the project manager, which defines the macro-universe of the project, but also the perspective of every worker involved in the project, who can be seen as manager of their assigned tasks, which defines the microuniverse of the worker.
Software projects are well known for their high overruns in terms of budget and time. As they grow larger, project monitoring becomes harder. In such a context, forecasting becomes a critical "ability", helping the project manager to understand where the project is heading, in terms of required budged and implementation time. In this paper, we present a forecasting method that we developed, which makes use of a distinct representation of the observed behavior of project team members towards work that is Work Behavior. Moreover, we present the first results from experiments on real-world software project development data that show that our method is more accurate than a very popular prediction method, implemented by most ALM tools. 2.1 Definitions Definition 1 (Remaining Effort). Remaining Effort.
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