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Predicting Software Development Project Outcomes

Overview Case-based reasoning is a flexible methodology to manage software development related tasks. However, when the reasoner's task is prediction, there are a number of different CBR techniques that could be chosen to address the characteristics of a dataset. This paper examines several of these techniques to assess their accuracy in predicting software development project outcomes (i.e., whether the project is a success or failure) and identify critical success factors within the data. The research in this paper can guide design decisions in future CBR implementations to predict the outcome of projects described with managerial factors.

Further White Paper Details
PublisherDrexel University File FormatPDF
Date PublishedSeptember 2003 Downloads1
FormatWhite Papers   
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