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Project planning is one of the most important activities in software projects. Poor planning often leads to project faults and dramatic outcomes for the project team. If cost and effort are determined pessimistic in software projects, suitable occasions can be missed; whereas optimistic predictions can be caused to some resource losing. Nowadays, software project managers should be aware of the increasing of project failures. The main reason for this problem is imprecision of the estimation. In this paper, several existing methods for software cost estimation are illustrated and their aspects will be discussed. Comparing the features of the methods could be applied for clustering based on abilities; it is also useful for selecting the special method for each project.
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