Applying CBR to estimate software costs
Most
of current software costs estimation approaches based on statistical
models appear to be too complicated and hard to apply in reality. This
paper proposes an approach to estimate software costs using Case-Based
Reasoning (CBR) where the costs of a new project are estimated by
firstly retrieving the similar previous project and then adapting its
costs to the current conditions. The project is described as an ontology
which allows the managers to estimate with various level of requirement
analysis. Moreover, the statistical analysis results of the COCOMO
model are utilized to reflect the domain knowledge
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